{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"yCfJIN6oZ20S"},"source":["#Lab 2.1 Clustering\n"]},{"cell_type":"markdown","metadata":{"id":"kN9fBzAFpTgz"},"source":["Clustering is an essential technique in machine learning and data analysis used to group similar items or data points together. Unlike supervised learning, clustering is an unsupervised learning technique, meaning it does not require labeled data. Instead, clustering algorithms analyze the inherent structure of data, helping to reveal natural groupings or patterns within it.\n","\n","###Why Clustering?\n","Clustering has a wide range of applications in various fields, such as:\n","\n","- **Market Segmentation:** Grouping customers based on purchasing behavior or demographics to better tailor marketing strategies.\n","- **Image Segmentation:** Breaking down an image into distinct regions for tasks like object detection and classification.\n","- **Anomaly Detection:** Identifying outliers or unusual patterns in data, such as fraud detection in financial transactions.\n","- **Recommendation Systems:** Grouping similar items or users together to make personalized recommendations, such as on streaming platforms or e-commerce sites.\n"]},{"cell_type":"markdown","source":["Don't forget to move the folder to your drive to be able to use it!\n","\n",""],"metadata":{"id":"IzPNRTid4J6r"}},{"cell_type":"markdown","metadata":{"id":"3ANsAbvnjs8z"},"source":["### K-Means\n","\n","K-Means is a widely-used unsupervised machine learning algorithm for clustering data into groups based on similarity. It is simple, efficient, and versatile, making it a popular choice for exploratory data analysis and segmentation tasks.\n","\n","The goal of K-Means is to partition a dataset into k distinct clusters, where each data point belongs to the cluster with the nearest centroid (a central point representing the cluster). The algorithm works iteratively to refine these centroids and assign points to the closest cluster, minimizing the intra-cluster variance (the sum of squared distances between points and their cluster centroid).\n","\n","####Key Steps in K-Means:\n","- **Initialization:** Choose k initial cluster centroids (randomly or using heuristics).\n","- **Assignment:** Assign each data point to the nearest centroid based on a distance metric (commonly Euclidean distance).\n","- **Update:** Recalculate the centroids by averaging the data points assigned to each cluster.\n","- **Iteration:** Repeat the assignment and update steps until the centroids stabilize or a maximum number of iterations is reached.\n","\n","\n","K-Means is used in various domains, including: customer segmentation, image compression, anomaly detection, and document clustering.\n","While powerful, K-Means has limitations, such as sensitivity to the initial choice of centroids and difficulty handling non-spherical clusters. Despite these challenges, its simplicity and effectiveness make it a cornerstone of clustering techniques in machine learning."]},{"cell_type":"code","source":["!pip install gdown"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RO0-DRpve0tF","executionInfo":{"status":"ok","timestamp":1763463229319,"user_tz":-60,"elapsed":15998,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"a22b4ad7-2743-4c74-96cb-407cd2e26dad"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: gdown in /usr/local/lib/python3.12/dist-packages (5.2.0)\n","Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.12/dist-packages (from gdown) (4.13.5)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from gdown) (3.20.0)\n","Requirement already satisfied: requests[socks] in /usr/local/lib/python3.12/dist-packages (from gdown) (2.32.4)\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from gdown) (4.67.1)\n","Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->gdown) (2.8)\n","Requirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.12/dist-packages (from beautifulsoup4->gdown) (4.15.0)\n","Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests[socks]->gdown) (3.4.4)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests[socks]->gdown) (3.11)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests[socks]->gdown) (2.5.0)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests[socks]->gdown) (2025.10.5)\n","Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.12/dist-packages (from requests[socks]->gdown) (1.7.1)\n"]}]},{"cell_type":"code","source":["!gdown 'https://drive.google.com/uc?id=1SwQEuHyO2A9hfSK2rdRH0J-YQ426U_20'"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"sbYiWpbNexZJ","executionInfo":{"status":"ok","timestamp":1763463231994,"user_tz":-60,"elapsed":2679,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"fd8b45cf-6e56-4fa8-db9f-82547e2338a7"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading...\n","From: https://drive.google.com/uc?id=1SwQEuHyO2A9hfSK2rdRH0J-YQ426U_20\n","To: /content/spam.csv\n","\r 0% 0.00/479k [00:00, ?B/s]\r100% 479k/479k [00:00<00:00, 23.3MB/s]\n"]}]},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","from sklearn.model_selection import train_test_split\n","\n","spam_data = pd.read_csv('spam.csv')\n","\n","spam_data['target'] = np.where(spam_data['target'] == 'spam', 1, 0)\n","print(spam_data.head(10))\n","\n","X, y = spam_data['text'], spam_data['target']\n","X_train, X_test, y_train, y_test = train_test_split(\n"," spam_data['text'], spam_data['target'], random_state=0\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nkfLWQqJe6YG","executionInfo":{"status":"ok","timestamp":1763463238955,"user_tz":-60,"elapsed":4381,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"a4917afd-74a9-42e5-8e08-79b54e1facfc"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":[" text target\n","0 Go until jurong point, crazy.. Available only ... 0\n","1 Ok lar... Joking wif u oni... 0\n","2 Free entry in 2 a wkly comp to win FA Cup fina... 1\n","3 U dun say so early hor... U c already then say... 0\n","4 Nah I don't think he goes to usf, he lives aro... 0\n","5 FreeMsg Hey there darling it's been 3 week's n... 1\n","6 Even my brother is not like to speak with me. ... 0\n","7 As per your request 'Melle Melle (Oru Minnamin... 0\n","8 WINNER!! As a valued network customer you have... 1\n","9 Had your mobile 11 months or more? U R entitle... 1\n"]}]},{"cell_type":"code","source":["from sklearn.feature_extraction.text import TfidfVectorizer\n","\n","# EXERCISE: use a vectorizer from last lab!\n","vectorizer = TfidfVectorizer()\n","X_train_transformed = vectorizer.fit_transform(X_train)\n","X_test_transformed = vectorizer.transform(X_test)"],"metadata":{"id":"AAzRZLepxbA_","executionInfo":{"status":"ok","timestamp":1763463708237,"user_tz":-60,"elapsed":194,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","metadata":{"id":"w66e62zmpU9V","executionInfo":{"status":"ok","timestamp":1763464316605,"user_tz":-60,"elapsed":1166,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"source":["from sklearn.cluster import KMeans\n","from sklearn.metrics import v_measure_score\n","from sklearn.metrics.cluster import adjusted_rand_score\n","\n","n_clusters = 2\n","\n","# EXERCISE: fit K-Means to the vectorized dataset\n","# HINT: look at the documentation of the above imports- google them\n","km = KMeans(n_clusters=n_clusters, max_iter=100, n_init=100, random_state=42).fit(X_train_transformed)\n","y_clus = km.predict(X_train_transformed)"],"execution_count":7,"outputs":[]},{"cell_type":"markdown","source":["Both V-Measure Score and Adjusted Rand Score (ARS) are metrics used to evaluate clustering performance by comparing the resulting clusters to a ground-truth labeling. However, they measure different aspects of clustering quality and have distinct characteristics.\n","\n","###1. V-Measure Score\n","The V-Measure Score is an information-theoretic measure that evaluates the balance between two properties of clustering:\n","\n","- **Homogeneity:** Ensures that each cluster contains only members of a single class (ground-truth label).\n","- **Completeness:** Ensures that all members of a single class are assigned to the same cluster.\n","\n","The V-Measure Score is the harmonic mean of homogeneity (H) and completeness (C):\n","\n","$$\n","V\\text{-}Measure=2\\frac{H \\cdot C}{H+C}\n","$$\n","\n","It's range is [0,1], where 1 means perfect clustering (both homogeneity and completeness are maximized) and 0 means no correspondence between clusters and ground truth.\n","\n","**Advantages:** Useful for interpreting how well the clusters align with labels in terms of purity and coverage.\n","Independent of the absolute number of clusters, focusing instead on the relationship between labels and clusters.\n","**Disadvantages:** Does not account for random chance in clustering assignments.\n","\n","###2. Adjusted Rand Score (ARS)\n","The Adjusted Rand Score evaluates the similarity between two clusterings (e.g., predicted clusters and ground truth) by counting pairs of points that are consistently assigned to the same or different clusters in both labelings. It adjusts for chance by considering the expected similarity of random clusterings. To understand the ARS, we should first understand the Rand Index\n","\n","Given two sets $X$ and $Y$, where each set is divided up into clusters, we define the rand index as:\n","$$\n","R = \\frac{TP+TN}{TP+TN+FP+FN}\n","$$\n","so we can think of this as the number of \"disagreements\" between $X$ and $Y$.\n","We then adjust this score by finding the \"expected index\" (what we would expect the rand index to be in the case of random selection).\n","\n","$$\n","ARS\n","= \\frac{Index-Expected Index}{Max Index-Expected Index}\n","$$\n","\n","with range [−1,1], where 1 means perfect clustering agreement with ground truth, 0 means clustering is no better than random and negative values that clustering is worse than random chance.\n","\n","**Advantages:** Adjusts for random chance, providing a robust measure of clustering quality. Useful for comparing clustering methods even when the number of clusters differs significantly.\n","**Disadvantages:** Requires the number of clusters to match (or approximate) the ground truth labels, making it less flexible than the V-Measure Score."],"metadata":{"id":"3TSxwKdri5Z2"}},{"cell_type":"code","metadata":{"id":"-CwaKS-Mqlg8","colab":{"base_uri":"https://localhost:8080/"},"outputId":"7fc386d0-c544-41d1-8f17-cb142f424c05","executionInfo":{"status":"ok","timestamp":1763464319167,"user_tz":-60,"elapsed":39,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"source":["print(f'''V measure - {v_measure_score(y_clus, y_train)}''')\n","print(f'''ARI - {adjusted_rand_score(y_clus, y_train)}''')"],"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["V measure - 0.01486551294141215\n","ARI - -0.05416793039842444\n"]}]},{"cell_type":"markdown","metadata":{"id":"ed7luUxZjnE3"},"source":["### Agglomerative clustering\n","\n","Agglomerative Clustering is a hierarchical clustering algorithm that builds nested clusters by merging or \"agglomerating\" data points based on their similarity. It is a bottom-up approach to clustering, where each data point starts as its own cluster, and pairs of clusters are merged iteratively until a stopping criterion is met (e.g., all points are in one cluster or a specific number of clusters is reached).\n","\n","Unlike partitioning methods like K-Means, Agglomerative Clustering does not require specifying the number of clusters in advance and can capture more complex relationships between data points, making it suitable for datasets with non-linear structures."]},{"cell_type":"code","metadata":{"id":"7T-bgAPmhQ1s","executionInfo":{"status":"ok","timestamp":1763464525870,"user_tz":-60,"elapsed":58587,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"source":["from sklearn.cluster import AgglomerativeClustering\n","\n","model = AgglomerativeClustering(n_clusters=5, metric='euclidean')\n","# EXERCISE: fit to the vectorized data!\n","model.fit(X_train_transformed.toarray())\n","y_clus = model.labels_"],"execution_count":9,"outputs":[]},{"cell_type":"code","metadata":{"id":"UZ4VBQybjLeY","colab":{"base_uri":"https://localhost:8080/"},"outputId":"2a6c8208-8b30-4aa4-fe95-28c29fdd0200","executionInfo":{"status":"ok","timestamp":1763464525912,"user_tz":-60,"elapsed":13,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"source":["print(f'''V measure - {v_measure_score(y_clus, y_train)}''')\n","print(f'''ARI - {adjusted_rand_score(y_clus,y_train)}''')"],"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":["V measure - 0.4475061104632287\n","ARI - 0.5961961231038662\n"]}]},{"cell_type":"markdown","source":["## Game of Thrones Clustering\n","\n","We are going use the techniques we've developed so far to understand which character of the GOT books is closer to which. We will show a few visualization techniques, no need to memorize them all, and a method to estimate the number of clusters, called the [Elbow method](https://www.scikit-yb.org/en/latest/api/cluster/elbow.html). We will extract sentences about each character from the text, and remove stop words (like in lab 1!) then cluster each sentence based on their vectorised similarities to one another.\n","\n","We will be using some dimensionality reduction. Recall what tf-idf is from lab 1:\n","\n","\"Term Frequency-Inverse Document Frequency. $TF(w,d)$ is the number of times word $w$ appears in document $d$. $IDF(w)$ is the rarity of the word in the corpora (collection of documents), calculated as\n","$$\n","IDF(w) = log \\frac{n}{df(w)}\n","$$\n","Where $n$ is the number of documents and $df(w)$ is the number of documents containing $w$. We then calculate the TF-IDF weight, which shows how important a word $w$ is to a document $d$, as follows $$TFIDF(w,d) = TF(w,d)\\times IDF(w)$$\"\n","\n","Vectorising a sequence with tf-idf involves finding the tf-idf weight for each term in a vocabulary. This means the vectors are quite *sparse*, lots of the values are 0. As such, we use truncated SVD for dimensionality reduction. This finds the top-$k$ terms which are responsible for the variance, and discards the rest of them. These are the terms that are most important for the clustering process."],"metadata":{"id":"yKub7LzkU7nO"}},{"cell_type":"code","source":["!wget -q --show-progress https://www.dropbox.com/s/b8cs502zfcdwbe5/got.zip -O got.zip\n","!unzip -o got.zip"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MggVjHO2U9ha","outputId":"e8fc7b66-a58f-485f-b065-a68e33a3d5e0","executionInfo":{"status":"ok","timestamp":1763464795007,"user_tz":-60,"elapsed":1425,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["\rgot.zip 0%[ ] 0 --.-KB/s \rgot.zip 100%[===================>] 1.54M --.-KB/s in 0.06s \n","Archive: got.zip\n"," inflating: got1_nostops.csv \n"," inflating: got2_nostops.csv \n"," inflating: got3_nostops.csv \n"," inflating: got4_nostops.csv \n"]}]},{"cell_type":"code","source":["import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import plotly.express as px\n","import numpy as np"],"metadata":{"id":"wkC84_FgVAlC","executionInfo":{"status":"ok","timestamp":1763464797878,"user_tz":-60,"elapsed":1843,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["got1 = pd.read_csv('got1_nostops.csv', index_col=0)\n","got2 = pd.read_csv('got2_nostops.csv', index_col=0)\n","got3 = pd.read_csv('got3_nostops.csv', index_col=0)\n","got4 = pd.read_csv('got4_nostops.csv', index_col=0)\n","got = pd.concat([got1, got2, got3, got4])"],"metadata":{"id":"KgLuxYRjVGD_","executionInfo":{"status":"ok","timestamp":1763464799484,"user_tz":-60,"elapsed":110,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":13,"outputs":[]},{"cell_type":"code","source":["got.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"ugqrm0TmVKaq","outputId":"2035d33f-011c-47c3-f546-c9362747498b","executionInfo":{"status":"ok","timestamp":1763464801487,"user_tz":-60,"elapsed":133,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Name Chapter Text\n","0 Eddard 1 visitors poured castle gates river gold silver...\n","1 Eddard 2 summons came hour dawn world still grey alyn s...\n","2 Eddard 3 found lord ned rose quickly men lannister jory...\n","3 Eddard 4 eddard stark rode towering bronze doors red ke...\n","4 Eddard 5 lord arryn death great sadness us lord grand m..."],"text/html":["\n","
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dany touched soft swell belly sweat beaded skin trickled brow could feel old women watching ancient crones vaes dothrak eyes shone dark polished flint wrinkled faces must flinch look afraid blood dragon told took stallion heart hands lifted mouth plunged teeth tough stringy flesh warm blood filled mouth ran chin taste threatened gag made chew swallow heart stallion would make son strong swift fearless dothraki believed mother could eat choked blood retched flesh omens less favorable child might stillborn come forth weak deformed female handmaids helped ready ceremony despite tender mother stomach afflicted past two moons dany dined bowls half clotted blood accustom taste irri made chew strips dried horseflesh jaws aching starved day night ceremony hopes hunger would help keep raw meat wild stallion heart muscle dany worry teeth chew mouthful long time steel permitted within sacred confines vaes dothrak beneath shadow mother mountains rip heart apart teeth nails stomach roiled heaved yet kept face smeared heartsblood sometimes seemed explode lips khal drogo stood ate face hard bronze shield long black braid shiny oil wore gold rings mustache gold bells braid heavy belt solid gold medallions around waist chest bare looked whenever felt strength failing looked chewed swallowed chewed swallowed chewed swallowed toward end dany thought glimpsed fierce pride dark almondshaped eyes could sure khal face often betray thoughts within finally done cheeks fingers sticky forced last turn eyes back old women crones dosh khaleen khalakka dothrae mranha proclaimed best dothraki prince tides inside practiced phrase days handmaid jhiqui oldest crones bent shriveled stick woman single black eye raised arms high khalakka dothrae shrieked prince tiding tiding women answered rakh rakh rakh haj proclaimed boy boy strong boy bells rang sudden clangor bronze birds deep throated warhorn sounded long low note old women began chant underneath painted leather vests withered dugs swayed back forth shiny oil sweat eunuchs served threw bundles dried grasses great bronze brazier clouds fragrant smoke rose toward moon stars dothraki believed stars horses made fire great herd galloped across sky night smoke ascended chanting died away ancient crone closed single eye better peer future silence fell complete dany could hear distant call night birds hiss crackle torches gentle lapping water lake dothraki stared eyes night waiting khal drogo laid hand dany arm could feel tension fingers even khal mighty drogo could know fear dosh khaleen peered smoke future back handmaids fluttered anxiously finally crone opened eye lifted arms seen face heard thunder hooves proclaimed thin wavery voice thunder hooves others chorused swift wind rides behind khalasar covers earth men without number arakhs shining hands like blades razor grass fierce storm prince enemies tremble wives weep tears blood rend flesh grief bells hair sing coming milk men stone tents fear name old woman trembled looked dany almost afraid prince riding shall stallion mounts world stallion mounts world onlookers cried echo night rang sound voices one eyed crone peered dany shall called stallion mounts world stood answer shall called rhaego said using words jhiqui taught hands touched swell beneath breasts protectively roar went dothraki rhaego screamed rhaego rhaego rhaego name still ringing ears khal drogo led pit bloodriders fell behind procession followed onto godsway broad grassy road ran heart vaes dothrak horse gate mother mountains crones dosh khaleen came first eunuchs slaves supported tall carved staffs struggled along ancient shaking legs others walked proud horselord old women khaleesi lord husbands died new khal took place front riders new khaleesi mounted beside sent reign vast dothraki nation even mightiest khals bowed wisdom authority dosh khaleen still gave dany shivers think one day might sent join whether willed behind wise women came others khal ogo son khalakka fogo khal jommo wives chief men drogo khalasar dany handmaids khal servants slaves bells rang drums beat stately cadence marched along godsway stolen heroes gods dead peoples brooded darkness beyond road alongside procession slaves ran lightly grass torches hands flickering flames made great monuments seem almost alive meaning name rhaego khal drogo asked walked using common tongue seven kingdoms teaching words could drogo quick learn put mind though accent thick barbarous neither ser jorah viserys could understand word said brother rhaegar fierce warrior sun stars told died born ser jorah says last dragons khal drogo looked face copper mask yet long black mustache drooping beneath weight gold rings thought glimpsed shadow smile good name dan ares wife moon life said rode lake dothraki called womb world surrounded fringe reeds water still calm thousand thousand years ago jhiqui told first man emerged depths riding upon back first horse procession waited grassy shore dany stripped let soiled clothing fall ground naked stepped gingerly water irri said lake bottom dany felt soft mud squishing toes pushed tall reeds moon floated still black waters shattering forming ripples washed goose pimples rose pale skin coldness crept thighs kissed lower lips stallion blood dried hands around mouth dany cupped fingers lifted sacred waters head cleansing child inside khal others looked heard old women dosh khaleen muttering watched wondered saying emerged lake shivering dripping handmaid doreah hurried robe painted sandsilk khal drogo waved away looking swollen breasts curve belly approval dany could see shape manhood pressing horsehide trousers heavy gold medallions belt went helped unlace huge khal took hips lifted air might lift child bells hair rang softly dany wrapped arms around shoulders pressed face neck thrust inside three quick strokes done stallion mounts world drogo whispered hoarsely hands still smelled horse blood bit throat hard moment pleasure lifted seed filled trickled inside thighs doreah permitted drape scented sandsilk irri fit soft slippers feet khal drogo laced spoke command horses brought lakeshore cohollo honor helping khaleesi onto silver drogo spurred stallion set godsway beneath moon stars silver dany easily kept pace silk tenting roofed khal drogo hall rolled tonight moon followed inside flames leapt ten feet air three huge stone lined firepits air thick smells roasting meat curdled fermented mare milk hall crowded noisy entered cushions packed whose rank name sufficient allow ceremony dany rode beneath arched entry center aisle every eye dothraki screamed comments belly breasts hailing life within could understand shouted one phrase came clear stallion mounts world heard bellowed thousand voices sounds drums horns swirled night halfclothed women spun danced low tables amid joints meat platters piled high plums dates pomegranates many men drunk clotted mare milk yet dany knew arakhs would clash tonight sacred city blades bloodshed forbidden khal drogo dismounted took place high bench khal jommo khal ogo vaes dothrak khalasars arrived given seats high honor drogo right left bloodriders three khals sat farther khal jommo four wives dany climbed silver gave reins one slaves doreah irri arranged cushions searched brother even across length crowded hall viserys conspicuous pale skin silvery hair beggar rags see anywhere glance roamed crowded tables near walls men whose braids even shorter manhoods sat frayed rugs flat cushions around low tables faces saw black eyes copper skin spied ser jorah mormont near center hall close middle firepit place respect high honor dothraki esteemed knight prowess sword dany sent jhiqui bring table mormont came went one knee khaleesi said command patted stuffed horsehide cushion beside sit talk honor knight seated cross legged cushion slave knelt offering wooden platter full ripe figs ser jorah took one bit half brother dany asked ought come feast saw grace morning told told going western market search wine wine dany said doubtfully viserys could abide taste fermented mare milk dothraki drank knew oft bazaars days drinking traders came great caravans east west seemed find company congenial wine ser jorah confirmed thought recruit men army sellswords guard caravans serving girl laid blood pie front attacked hands wise asked gold pay soldiers betrayed caravan guards seldom troubled much thoughts honor usurper king landing would pay well brother head ought gone keep safe sworn sword vaes dothrak reminded one may carry blade shed man blood yet men die said jhogo told traders eunuchs huge men strangle thieves wisps silk way blood shed gods angered let us hope brother wise enough steal anything ser jorah wiped grease mouth back hand leaned close table planned take dragon eggs warned cut hand much touched moment dany shocked words eggs mine magister illyrio gave bride gift would viserys want stones could said rubies diamonds fire opals princess dragon eggs rarer far traders drinking would sell manhoods even one stones three viserys could buy many sellswords might need dany known even suspected need steal ask brother true king brother ser jorah acknowledged understand ser said mother died giving birth father brother rhaegar even would never known much names viserys tell one left one said ser jorah longer khaleesi belong dothraki womb rides stallion mounts world held cup slave filled fermented mare milk sour smelling thick clots dany waved away even smell made feel ill would take chances bringing horse heart forced eat mean asked stallion everyone shouting understand stallion khal khals promised ancient prophecy child unite dothraki single khalasar ride ends earth promised people world herd oh dany said small voice hand smoothed robe swell stomach named rhaego name make usurper blood run cold suddenly doreah tugging elbow lady handmaid whispered urgently brother dany looked length long roofless hall striding toward lurch step could tell viserys found wine something passed courage wearing scarlet silks soiled travel stained cloak gloves black velvet faded sun boots dry cracked silver blond hair matted tangled longsword swung belt leather scabbard dothraki eyed sword passed dany heard curses threats angry muttering rising around like tide music died away nervous stammering drums sense dread closed around heart go commanded ser jorah stop bring tell dragon eggs wants knight rose swiftly feet sister viserys shouted voice thick wine come feast dare presume eat without one eats king whore hide dragon stopped beside largest three firepits peering around faces dothraki five thousand men hall handful knew common tongue yet even words incomprehensible look know drunk ser jorah went swiftly whispered something ear took arm viserys wrenched free keep hands one touches dragon without leave dany glanced anxiously high bench khal drogo saying something khals beside khal jommo grinned khal ogo began guffaw loudly sound laughter made viserys lift eyes khal drogo said thickly voice almost polite feast staggered away ser jorah making join three khals high bench khal drogo rose spat dozen words dothraki faster dany could understand pointed khal drogo says place high bench ser jorah translated brother khal drogo says place viserys glanced khal pointing back long hall corner wall deep shadow better men would need look sat lowest low raw unblooded boys old men clouded eyes stiff joints dim witted maimed far meat farther honor place king brother declared place khal drogo answered common tongue dany taught sorefoot king clapped hands together cart bring cart khal rhaggat five thousand dothraki began laugh shout ser jorah standing beside viserys screaming ear roar hall thunderous dany could hear saying brother shouted back two men grappled mormont knocked viserys bodily floor brother drew sword bared steel shone fearful red glare firepits keep away viserys hissed ser jorah backed step brother climbed unsteadily feet waved sword head borrowed blade magister illyrio given make seem kingly dothraki shrieking sides screaming vile curses dany gave wordless cry terror knew drawn sword meant even brother voice made viserys turn head saw first time said smiling stalked toward slashing air cut path wall enemies though one tried bar way blade must begged please viserys forbidden put sword come share cushions drink food dragon eggs want throw away sword tells fool ser jorah shouted get us killed viserys laughed kill us shed blood sacred city laid point sword daenerys breasts slid downward curve belly want came told want crown promised bought never paid tell want bargained taking back eggs keep bloody foal cut bastard leave sword point pushed silks pricked navel viserys weeping saw weeping laughing time man brother distantly far away dany heard handmaid jhiqui sobbing fear pleading dared translate khal would bind drag behind horse way mother mountains put arm around girl afraid said shall tell know enough words yet done khal drogo spoke brusque sentences dothraki knew understood sun life stepped high bench say man brother asked flinching grown silent hall could hear bells khal drogo hair chiming softly step took bloodriders followed like three copper shadows daenerys gone cold says shall splendid golden crown men shall tremble behold viserys smiled lowered sword saddest thing thing tore afterward way smiled wanted said promised sun life reached dany slid arm around waist khal said word bloodriders leapt forward qotho seized man brother arms haggo shattered wrist single sharp twist huge hands cohollo pulled sword limp fingers even viserys understand shouted cannot touch dragon dragon crowned khal drogo unfastened belt medallions pure gold massive ornate one large man hand shouted command cook slaves pulled heavy iron stew pot firepit dumped stew onto ground returned pot flames drogo tossed belt watched without expression medallions turned red began lose shape could see fires dancing onyx eyes slave handed pair thick horsehair mittens pulled never much looking man viserys began scream high wordless scream coward facing death kicked twisted whimpered like dog wept like child dothraki held tight ser jorah made way dany side put hand shoulder turn away princess beg folded arms across swell belly protectively last viserys looked sister please dany tell make sweet sister gold half melted starting run drogo reached flames snatched pot crown roared crown cart king upended pot head man brother sound viserys targaryen made hideous iron helmet covered face like nothing human feet hammered frantic beat dirt floor slowed stopped thick globs molten gold dripped onto chest setting scarlet silk smoldering yet drop blood spilled dragon dany thought curiously calm fire cannot kill dragon\",\n \"river blue green ribbon shining morning sun reeds grew thick shallows along banks arya saw water snake skimming across surface ripples spreading behind went overhead hawk flew lazy circles seemed peaceful place koss spotted dead man reeds pointed arya saw body soldier shapeless swollen sodden green cloak hung rotted log school tiny silver fishes nibbling face told bodies lommy announced could taste water yoren saw corpse spat dobber see got anything worth taking mail knife bit coin spurred gelding rode river horse struggled soft mud beyond reeds water deepened yoren rode back angry horse covered brown slime knees crossing koss come upriver look ford woth gerren go downstream rest wait put guard dobber found leather purse dead man belt inside four coppers little hank blond hair tied red ribbon lommy tarber stripped naked went wading lommy scooped handfuls slimy mud threw hot pie shouting mud pie mud pie back wagon rorge cursed threatened told unchain yoren gone one paid mind kurz caught fish bare hands arya saw standing shallow pool calm still water hand darting quick snake fish swam near look hard catching cats fish claws midday others returned woth reported wooden bridge half mile downstream someone burned yoren peeled sourleaf bale might could swim horses maybe donkeys way get wagons across smoke north west fires could side river place want picked long stick drew circle mud line trailing gods eye river flowing south poked hole beside line river circle go round west lake like thought east takes us back kingsroad moved stick line circle met near recall town holdfast stone lordling got seat towerhouse guard might knight two follow river north dark boats mean sell got hire us one drew stick circle lake bottom top gods good find wind sail across gods eye harrentown thrust point top circle buy new mounts else take shelter harrenhal lady whent seat always friend watch hot pie eyes got wide ghosts harrenhal yoren spat ghosts tossed stick mud mount arya remembering stories old nan used tell harrenhal evil king harren walled inside aegon unleashed dragons turned castle pyre nan said fiery spirits still haunted blackened towers sometimes men went sleep safe beds found dead morning burnt arya really believe anyhow happened long time ago hot pie silly ghosts harrenhal would knights arya could reveal lady whent knights would escort home keep safe knights kept safe especially women maybe lady whent would even help crying girl river track kingsroad yet half bad wagons rolled along smartly saw first house hour shy evenfall snug little thatch roofed cottage surrounded fields wheat yoren rode ahead hallooing got answer dead might hiding dobber rey three men went cottage pots gone sign coin laid yoren muttered returned animals run like might met em kingsroad least house field burned corpses tarber found garden back pulled onions radishes filled sack cabbages went way little farther road glimpsed forester cabin surrounded old trees neatly stacked logs ready splitting later ramshackle stilt house leaning river poles ten feet tall deserted passed fields wheat corn barley ripening sun men sitting trees walking rows scythes finally town came view cluster white houses spread around walls holdfast big sept shingled wooden roof lord towerhouse sitting small rise west sign people anywhere yoren sat horse frowning tangle beard like said go us look careful look see maybe folk hiding might left boat behind weapons use black brother left ten guard wagons whimpery little girl split rest four groups five search town keep eyes ears open warned rode towerhouse see sign lordling guards arya found gendry hot pie lommy squat kettlebellied woth pulled oar galley made next best thing sailor yoren told take lakefront see could find boat rode silent white houses gooseprickles crawled arya arms empty town frightened almost much burnt holdfast found crying girl one armed woman would people run leave homes everything could scare much sun low west houses cast long dark shadows sudden clap sound made arya reach needle shutter banging wind open river shore closeness town unnerved glimpsed lake ahead houses trees arya put knees horse galloping past woth gendry burst onto grassy sward beside pebbled shore setting sun made tranquil surface water shimmer like sheet beaten copper biggest lake ever seen hint far shore saw rambling inn left built water heavy wooden pilings right long pier jutted lake docks farther east wooden fingers reaching town boat view upside rowboat abandoned rocks beneath inn bottom thoroughly rotted gone arya said dejected would inn lommy said others rode think left food ale let go see hot pie suggested never mind inn snapped woth yoren said find boat took boats somehow arya knew true could search whole town find upside rowboat despondent climbed horse knelt lake water lapped softly around legs lantern bugs coming little lights blinking green water warm tears salt tasted summer mud growing things arya plunged face wash dust dirt sweat day leaned back trickles ran back neck collar felt good wished could take clothes swim gliding warm water like skinny pink otter maybe could swim way winterfell woth shouting help search peering boathouses sheds horse grazed along shore found sails nails buckets tar gone hard mother cat litter new born kittens boats town dark forest yoren others reappeared tower empty said lord gone fight maybe get smallfolk safety telling horse pig left town eat saw goose running loose chickens good fish gods eye boats gone arya reported could patch bottom rowboat said koss might four us yoren said nails lommy pointed trees around could build us boats yoren spat know anything bout boat building dyer boy lommy looked blank raft suggested gendry anyone build raft long poles pushing yoren looked thoughtful lake deep pole across stayed shallows near shore itd mean leaving wagons might best sleep stay inn lommy asked stay holdfast gates barred old man said like feel stone walls sleep arya could keep quiet stay blurted people ran even lord arry scared lommy announced braying laughter snapped back smart boy said yoren thing folks lived war like night watch takes part man enemy man friend thought time held tongue lommy rest looking want seem craven front holdfast gates studded iron nails within found pair iron bars size saplings post holes ground metal brackets gate slotted bars brackets made huge x brace red keep yoren announced explored holdfast top bottom better night well enough walls rough unmortared stone ten feet high wooden catwalk inside battlements postern gate north gerren discovered trap straw old wooden barn leading narrow winding tunnel followed long way earth came lake yoren roll wagon top trap make certain one came way divided three watches sent tarber kurz cutjack abandoned towerhouse keep eye high kurz hunting horn sound danger threatened drove wagons animals inside barred gates behind barn ramshackle thing large enough hold half animals town townfolk would shelter times trouble even larger low long built stone thatched roof koss went postern gate brought goose back two chickens well yoren allowed cookfire big kitchen inside holdfast though pots kettles taken gendry dobber arya drew cook duty dobber told arya pluck fowl gendry split wood split wood asked one listened sullenly set plucking chicken yoren sat end bench sharpening edge dirk whetstone food ready arya ate chicken leg bit onion one talked much even lommy gendry went afterward polishing helm look face like even crying girl whimpered wept hot pie offered bit goose gobbled looked arya drew second watch found straw pallet sleep come easy borrowed yoren stone set honing needle syrio forel said dull blade like lame horse hot pie squatted pallet beside watching work get good sword like asked saw look gave raised hands defensively never said stole wanted know got brother gave muttered never knew brother arya paused scratch shirt fleas straw though see would bother lots brothers bigger littler talking like yoren said keep mouth shut bigger lied swords big longswords showed kill people bother talking bothering hot pie went let alone arya curled pallet could hear crying girl far side wish quiet cry time must slept though never remembered closing eyes dreamed wolf howling sound terrible woke arya sat pallet heart thumping hot pie wake scrambled feet woth gendry hear pulled boot around men boys stirred crawled pallets wrong hot pie asked hear gendry wanted know arry bad dream someone else said heard insisted wolf arry wolves head sneered lommy let howl gerren said woth agreed never saw wolf could storm holdfast hot pie saying never heard nothing wolf shouted yanked second boot something wrong someone coming get could hoot sound came shuddering night wolf time kurz blowing hunting horn sounding danger heartbeat pulling clothes snatching whatever weapons owned arya ran gate horn sounded dashed past barn biter threw furiously chains jaqen hghar called back wagon boy sweet boy war red war boy free us man fight boy ignored plunged could hear horses shouts beyond wall scrambled onto catwalk parapets bit high arya bit short wedge toes holes stones see moment thought town full lantern bugs realized men torches galloping houses saw roof go flames licking belly night hot orange tongues thatch caught another followed another soon fires blazing everywhere gendry climbed beside wearing helm many arya tried count riding fast torches spinning air flung hundred said two hundred know roar flames could hear shouts come us soon gendry said pointing column riders moved burning buildings toward holdfast firelight glittered metal helms spattered mail plate orange yellow highlights one carried banner tall lance thought red hard tell night fires roaring around everything seemed red black orange fire leapt one house another arya saw tree consumed flames creeping across branches stood night robes living orange everyone awake manning catwalks struggling frightened animals could hear yoren shouting commands something bumped leg glanced discover crying girl clutching get away wrenched leg free run hide someplace stupid shoved girl away riders reined gates holdfast shouted knight tall helm spiked crest open name king aye king old reysen yelled back woth cuffed silence yoren climbed battlement beside gate faded black cloak tied wooden staff men hold shouted townfolk gone old man one lord beric cravens called knight spiked helm fat fool thoros ask likes fires got man yoren shouted back lads watch got part war hoisted staff could see color cloak look black night watch black house dondarrion called man bore enemy banner arya could see colors clearly light burning town golden lion red lord beric sigil purple lightning bolt black field suddenly arya remembered morning thrown orange sansa face gotten juice stupid ivory silk gown southron lordling tourney sister stupid friend jeyne love lightning bolt shield father sent behead hound brother seemed thousand years ago something happened different person different life arya stark hand daughter arry orphan boy would arry know lords blind man yoren waved staff back forth making cloak ripple see bloody lightning bolt night banners look black knight spiked helm observed open know outlaws league king enemies yoren spat got command reflections burning houses glimmered dully armor warhorse others parted let pass stout man manticore shield ornate scrollwork crawling across steel breastplate open visor helm face pale piggy peered ser amory lorch bannerman lord tywin larmister casterly rock hand king true king joffrey high thin voice name command open gates around town burned night air full smoke drifting red embers outnumbered stars yoren scowled see need want town naught leave us foes look eyes arya wanted shout men see lords knights whispered think care arry gendry whispered back looked ser amory face way syrio taught look saw right traitors open gates ser amory called make certain telling true way yoren chewing sourleaf told one us got word knight spiked helm laughed crow gives us word lost old man mocked one spearmen wall long way north command king joffrey name prove loyalty profess open gates said ser amory long moment yoren considered chewing spat think defy king command proclaim rebels black cloaks got young boys yoren shouted young boys old men die ser amory raised lanquid fist spear came hurtling fire bright shadows behind yoren must target woth beside hit spearhead went throat exploded back neck dark wet woth grabbed shaft fell boneless walk storm walls kill ser amory said bored voice spears flew arya yanked hot pie back tunic outside came rattle armor scrape swords scabbards banging spears shields mingled curses hoofbeats racing horses torch sailed spinning heads trailing fingers fire thumped dirt yard blades yoren shouted spread apart defend wall wherever hit koss urreg hold postern lommy pull spear woth get hot pie dropped shortsword tried unsheath arya shoved blade back hand know swordfight said white eyed easy arya said lie died throat hand grasped top parapet saw light burning town clear time stopped fingers blunt callused wiry black hairs grew knuckles dirt nail thumb fear cuts deeper swords remembered top pothelm loomed behind hand slashed hard needle castle forged steel bit grasping fingers knuckles winterfell screamed blood spurted fingers flew helmed face vanished suddenly appeared behind hot pie yelled arya whirled second man bearded helmetless dirk teeth leave hands free climbing swung leg parapet drove point eyes needle never touched reeled backward fell hope falls face cuts tongue watch screamed hot pie next time someone tried climb part wall boy hacked hands swordshort man dropped away ser amory ladders holdfast walls rough cut unmortared easy climb seemed end foes one arya cut stabbed shoved back another coming wall knight spiked helm reached rampart yoren tangled black banner around spike forced point dirk armor man fighting cloth every time arya looked torches flying trailing long tongues flame lingered behind eyes saw gold lion red banner thought joffrey wishing could drive needle sneery face four men assaulted gate axes koss shot arrows one one dobber wrestled man walk lommy smashed head rock could rise hooted saw knife dobber belly realized getting either arya jumped dead boy older jon lying arm cut think done sure heard qyle beg mercy knight wasp shield smashed face spiked mace everything smelled blood smoke iron piss time seemed like one smell never saw skinny man got wall fell gendry hot pie gendry sword shattered man helm tearing head underneath bald scared looking missing teeth speckly grey beard even feeling sorry killing shouting winterfefl winterfell hot pie screamed hot pie beside hacked man scrawny neck skinny man dead gendry stole sword leapt yard fight arya looked past saw steel shadows running holdfast firelight shining mail blades knew gotten wall somewhere broken postern jumped beside gendry landing way syrio taught night rang clash steel cries wounded dying moment arya stood uncertain knowing way go death around yoren shaking screaming face boy yelled way always yelled get done lost herd others boys get arya said trap screamed barn quick gone fight sword hand arya grabbed gendry arm said go shouted barn way slits helm bull eyes shone reflected fire nodded called hot pie wall found lommy greenhands lay bleeding spear thrust calf found gerren hurt bad move running toward barn arya spied crying girl sitting middle chaos surrounded smoke slaughter grabbed hand pulled feet others raced ahead girl walk even slapped arya dragged right hand held needle left ahead night sullen red bam fire thought flames licking sides torch fallen straw could hear screaming animals trapped within hot pie stepped barn arry come lommy gone leave come stubbornly arya dragged harder pulling crying girl along hot pie scuttled back inside abandoning gendry came back fire shining bright polished helm horns seemed glow orange ran hoisted crying girl shoulder run rushing barn doors like running furnace air swirling smoke back wall sheet fire ground roof horses donkeys kicking rearing screaming poor animals arya thought saw wagon three men manacled bed biter flinging chains blood running arms irons clasped wrists rorge screamed curses kicking wood boy called jaqen h ghar sweet boy open trap feet ahead fire spreading fast consuming old wood dry straw faster would believed arya remembered hound horrible burned face tunnel narrow gendry shouted get pull arya said push good boys kind boys called jaqen h ghar coughing get fucking chains rorge screamed gendry ignored go first hurry long way split firewood arya remembered leave axe spared glance chained men save donkeys first time take yelled get fire beat back hot red wings fled burning barn felt blessedly cool outside men dying around saw koss throw blade yield saw kill stood smoke everywhere sign yoren axe gendry left woodpile outside wrenched free mailed hand grabbed arm spinning arya drove head axe hard legs never saw face dark blood seeping links hauberk going back barn hardest thing ever smoke pouring open door like writhing black snake could hear screams poor animals inside donkeys horses men chewed lip darted doors crouched low smoke quite thick donkey caught ring fire shrieking terror pain could smell stench burning hair roof gone things falling pieces flaming wood bits straw hay arya put hand mouth nose see wagon smoke could still hear biter screaming crawled toward sound wheel looming wagon jumped moved half foot biter threw chains jaqen saw hard breathe let alone talk threw axe wagon rorge caught lifted head rivers sooty sweat pouring noseless face arya running coughing heard steel crash old wood instant later came crack loud thunder bottom wagon came ripping loose explosion splinters arya rolled headfirst tunnel dropped five feet got dirt mouth care taste fine taste mud water worms life earth air cool dark nothing blood roaring red choking smoke screams dying horses moved belt around needle would way began crawl dozen feet tunnel heard sound like roar monstrous beast cloud hot smoke black dust came billowing behind smelling hell arya held breath kissed mud floor tunnel cried could say chapter 15\",\n \"sobbing sam took another step last one last go feet moved one took step another thought feet someone else someone else walking looked could see stumbling snow shapeless things clumsy boots black seemed remember snow caked around misshapen white balls like two clubfeet made ice would stop snow drifts past knees crust covered lower legs like pair white greaves steps dragging lurching heavy pack carried made look like monstrous hunchback tired tired go mother mercy every fourth fifth step reach tug swordbelt lost sword fist scabbard still weighed belt two knives dragonglass dagger jon given steel one cut meat weight dragged heavy belly big round forgot tug belt slipped right tangled round ankles matter tight cinched tried belting belly came almost armpits grenn laughed sick sight dolorous edd said knew man wore sword chain around neck like one day stumbled hilt went nose sam stumbling rocks beneath snow roots trees sometimes deep holes frozen ground black bernarr stepped one broken ankle three days past maybe four know long truly lord commander put bernarr horse sobbing sam took another step felt like falling walking falling endlessly never hitting ground falling forward forward stop hurts much cold tired need sleep little sleep beside fire bite eat frozen stopped died knew knew left fifty fled fist maybe wandered snow wounded bled death sometimes sam heard shouts behind rear guard awful scream heard run twenty yards thirty fast far could half frozen feet kicking snow would running still legs stronger behind us still behind us taking us one one sobbing sam took another step cold long forgetting like feel warm wore three pairs hose two layers smallclothes beneath double lambswool tunic thick quilted coat padded cold steel chainmail hauberk loose surcoat triplethick cloak bone button fastened tight chins hood flopped forward forehead heavy fur mitts covered hands thin wool leather gloves scarf wrapped snugly lower half face tight fitting fleece lined cap pull ears beneath hood still cold feet especially even feel yesterday hurt bad could hardly bear stand let alone walk every step made want scream yesterday could remember slept since fist since horn blown unless walking could man walk sleeping sam know else forgotten sobbing took another step snow swirled around sometimes fell white sky sometimes black remained day night wore shoulders like second cloak piled high atop pack carried made even heavier harder bear small back hurt abominably someone shoved knife wiggling back forth every step shoulders agony weight mail would given anything take afraid anyway would needed remove cloak surcoat get cold would stronger though good wishing sam weak fat fat could hardly bear weight mail much much felt though rubbing shoulders raw despite layers cloth quilt steel skin thing could cry cried tears froze cheeks sobbing took another step crust broken set feet otherwise think could moved left right half seen silent trees torches turned vague orange haloes falling snow turned head could see slipping silent wood bobbing back forth old bear ring fire reminded woe leaves walked seemed chasing torches ahead legs well longer stronger could never catch yesterday begged let one torchbearers even meant walking outside column darkness pressing close wanted fire dreamed fire fire would cold someone reminded torch start dropped snow snuffed fire sam remember dropping torch supposed true weak hold arm long edd reminded torch grenn remember either fat weak useless even wits freezing took another step wrapped scarf nose mouth covered snot stiff feared must frozen face even breathing hard air cold hurt swallow mother mercy muttered hushed husky voice beneath frozen mask mother mercy mother mercy mother mercy prayer took another step dragging legs snow mother mercy mother mercy mother mercy mother thousand leagues south safe sisters little brother dickon keep horn hill hear mother mother merciful septons agreed seven power beyond wall old gods ruled nameless gods trees wolves snows mercy whispered whatever might listening old gods new demons oh mercy mercy mercy maslyn screamed mercy suddenly remembered nothing wanted remember man stumbled backward dropping sword pleading yielding even yanking thick black glove thrusting gauntlet still shrieking quarter wight lifted air throat near ripped head dead mercy left others think think remember walk walk walk sobbing took another step root beneath crust caught toe sam tripped fell heavily one knee hard bit tongue could taste blood mouth warmer anything tasted since fist end thought fallen could seem find strength rise groped tree branch clutched tight trying pull back feet stiff legs would support mail heavy fat besides weak tired back feet piggy someone growled went past sam paid mind lie snow close eyes bad dying possibly colder little able feel ache lower back terrible pain shoulders could feel feet first die say hundreds died fist died around died seen shivering sam released grip tree eased snow cold wet knew could scarcely feel clothing stared upward pale white sky snowflakes drifted upon stomach chest eyelids snow cover like thick white blanket warm snow speak say died man night watch duty one say forswore fat weak craven duty ravens responsibility brought along wanted go told told big coward maester aemon old blind besides send sam tend ravens lord commander given orders made camp fist fighter know boy happens attacked go trying prove otherwise get way send message come running ask letter say write send one bird castle black another shadow tower old bear pointed gloved finger right sam face care scared foul breeches care thousand wildlings coming walls howling blood get birds swear hunt seven hells make damn sorry mormont raven bobbed head croaked sorry sorry sorry sam sorry sorry braver stronger good swords better son father better brother dickon girls sorry die better men died fist good men true squeaking fat boys like least would old bear hunting hell though got birds right least written messages ahead time short messages simple telling attack fist first men tucked away safe parchment pouch hoping would never need send horns blew sam sleeping thought dreaming first opened eyes snow falling camp black brothers grabbing bows spears running toward ringwall chett one nearby maester aemon old steward face full boils big wen neck sam never seen much fear man face saw chett third blast came moaning trees help get birds pleaded steward turned run dagger hand dogs care sam remembered probably lord commander given orders well fingers stiff clumsy gloves shaking fear cold found parchment pouch dug messages written ravens shrieking furiously opened castle black cage one flew right face two escaped sam could catch one pecked glove drawing blood yet somehow held long enough attach little roll parchment warhorn fallen silent fist rang shouted commands clatter steel fly sam called tossed raven air birds shadow tower cage screaming fluttering madly afraid open door made anyway time caught first raven tried escape moment later clawing way falling snow bearing word attack duty done finished dressing clumsy frightened fingers donning cap surcoat hooded cloak buckling swordbelt buckling real tight fall found pack stuffed things inside spare smallclothes dry socks dragonglass arrowheads spearhead jon given old horn parchments inks quills maps drawing rock hard garlic sausage saving since wall tied shouldered pack onto back lord commander said rush ringwall recalled said come running either sam took deep breath realized know next remembered turning circle lost fear growing inside always dogs barking horses trumpeting snow muffled sounds made seem far away sam could see nothing beyond three yards even torches burning along low stone wall ringed crown hill could torches gone scary think horn blew thrice long three long blasts means others white walkers wood cold shadows monsters tales made squeak tremble boy riding giant ice spiders hungry blood awkwardly drew sword plodded heavily snow holding dog ran past barking saw men shadow tower big bearded men longaxes eight foot spears felt safer company followed wall saw torches still burning atop ring stones shudder relief went black brothers stood swords spears hand watching snow fall waiting ser mallador locke went horse wearing snow speckled helm sam stood well back behind others looking grenn dolorous edd die let die beside friends remembered thinking men around strangers shadow tower men command ranger named blane come heard brother say notch said blane twenty black arrows pulled many quivers notched many bowstrings gods good hundreds voice said softly draw blane said hold sam could see want see men night watch stood behind torches waiting arrows pulled back ears something came dark slippery slope snow hold blane said hold hold loose arrows whispered flew ragged cheer went men along ringwall died quickly stopping lord man said blane another shouted look coming trees yet another said gods ha mercy crawling almost us sam backing away shaking like last leaf tree wind kicks much cold fear cold night even colder snow feels almost warm feel better little rest needed maybe little strong enough walk little horse stepped past head shaggy grey beast snow mane hooves crusted ice sam watched come watched go another appeared falling snow man black leading saw sam path cursed led horse around wish horse thought ff horse could keep going could sit even sleep saddle mounts lost fist though remained carried food torches wounded sam wounded fat weak greatest craven seven kingdoms coward lord randyll father always said right sam heir never worthy father sent away wall little brother dickon would inherit tarly lands castle greatsword heartsbane lords horn hill bome proudly centuries wondered whether dickon would shed tear brother died snow somewhere beyond edge world coward worth weeping heard father tell mother much half hundred times old bear knew fire arrows lord commander roared night fist appeared suddenly astride horse give flame noticed sam quaking tarly get place ravens got messages away good mormont shoulder raven echoed good good lord commander looked huge fur mail behind black iron visor eyes fierce way go back cages need send another message want find first see birds ready wait response turned horse trotted around ring shouting fire give fire sam need told twice went back birds fast fat legs could carry write message ahead time thought get birds away fast need took longer light little fire warm frozen ink sat beside rock quill parchment wrote messages attacked amidst snow cold thrown back fire arrows wrote heard thoren smallwood voice ring command notch draw loose flight arrows made sound sweet mother prayer bum dead bastards bum dywen sang cackling brothers cheered cursed safe wrote remain fist first men sam hoped better archers put note aside found another blank parchment still fighting fist amidst heavy snow wrote someone shouted still coming result uncertain spears someone said might ser mallador sam could swear wights attacked us fist snow wrote drove fire turned head drifting snow could see huge fire center camp mounted men moving restlessly around reserve knew ready ride anything breached ringwall armed torches place swords lighting flames wights around us wrote heard shouts north face coming north south spears swords stop fire loose loose loose voice screamed night another shouted bloody huge third voice said giant fourth insisted bear bear horse shrieked hounds began bay much shouting sam make voices anymore wrote faster note note dead wildlings giant maybe bear us around heard crash steel wood could mean one thing wights ringwall fighting inside camp dozen mounted brothers pounded past toward east wall burning brands streaming flames rider hand lord commander mormont meeting fire winning holding cutting way free retreating wall trapped fist hard pressed one shadow tower men came staggering darkness fall sam feet crawled within foot fire died lost sam wrote battle lost lost must remember fight fist want remember tried make remember mother little sister talla girl gilly craster keep someone shaking shoulder get voice said sam go sleep get keep walking asleep remembering go away said words frosting cold air well want rest get grenn voice harsh husky loomed sam blacks crusty snow resting old bear said die grenn smiled truly good go catch rested bit longer grenn thick brown beard frozen around mouth made look like old man freeze others get sam get night left wall pyp teased grenn way sam remembered smiling saying grenn good choice ranging since stupid terrified grenn hotly denied realized saying stocky thick necked strong ser alliser thorne called aurochs way called sam ser piggy jon lord snow always treated sam nice enough jon though jon none would liked jon gone lost skirling pass qhorin halfhand likely dead sam would cried tears would freeze well could scarcely keep eyes open tall brother torch stopped beside wonderful moment sam felt warmth face leave man said grenn walk done save strength grenn get grenn replied needs hand man moved taking blessed warmth grenn tried pull sam feet hurts complained stop grenn hurting arm stop bloody heavy grenn jammed hands sam armpits gave grunt hauled upright moment let go fat boy sat back snow grenn kicked solid thump cracked crust snow around boot sent flying everywhere get kicked get walk walk sam fell sideways curling tight ball protect kicks hardly felt wool leather mail even hurt thought grenn friend kick friends let need rest rest sleep maybe die little take torch take fat boy suddenly jerked cold air away sweet soft snow floating arm knees another one back sam raised head blinked face loomed close broad brutal face flat nose small dark eyes thicket coarse brown beard seen face took moment remember paul small paul melting ice ran eyes heat torch carry heard grenn ask carried calf heavier carried mother could get drink milk sam head bobbed every step small paul took stop muttered put baby man night watch sobbed let die quiet sam said grenn save strength think sisters brother maester aemon favorite foods sing song like aloud head sam knew hundred songs tried think one words gone head sobbed said know songs grenn know yes said grenn bear maiden fair everybody knows one bear bear bear black brown covered hair one sam pleaded bear come fist hair left rotted flesh want think bears songs please grerm think ravens never mine lord commander ravens ravens night watch belonged castle black shadow tower small paul frowned chett said could old bear raven one talks saved food everything shook head forgot though left food hid plodded onward pale white breath coming mouth every step suddenly said could one ravens one never let lark eat gone said sam sorry sorry flying back wall set birds free heard warhorns sound calling watch horse two short blasts long one call mount reason mount unless abandon fist meant battle lost fear bit strong sam could open cages watched last raven flap snowstorm realize forgotten send messages written squealed oh oh snow fell horns blew ahooo ahooo ahooooooooooooooooooo cried horse horse horse sam saw two ravens perched rock ran birds flapped lazily swirling snow opposite directions chased one breath puffing nose thick white clouds stumbled found ten feet ringwall remembered dead coming stones arrows faces throats ringmail almost naked wildlings wore faded blacks remembered one shadow tower men shoving spear wight pale soft belly back thing staggered right shaft reached black hands twisted brother head around blood came mouth bladder let go first time almost sure remember running must next knew near fire half camp away old ser ottyn wythers archers ser ottyn knees snow staring chaos around riderless horse came kicked face archers paid mind loosing fire arrows shadows dark sam saw one wight hit saw flames engulf dozen behind huge pale shape must bear soon enough bowmen arrows sam found horse horse never recalled mounting either maybe horse smashed ser ottyn face horns still blowing kicked horse turned toward sound midst carnage chaos blowing snow found dolorous edd sitting garron plain black banner spear sam edd said saw would wake please terrible nightmare men mounting every moment warhorns called back ahooo ahooo ahooooooooooooooooooo west wall lord thoren smallwood screamed old bear fought control horse send reserves mormont bellow top lungs heard horns call back cut way stood stirrups black cloak snapping wind fire shining armor spearhead roared form wedge ride south face east lord south slope crawling others steep mormont said garron screamed reared almost threw bear came staggering snow sam pissed think left inside bear dead pale rotting fur skin sloughed half right arm burned bone yet still came eyes lived bright blue fon said shone like frozen stars thoren smallwood charged longsword shining orange red light fire swing near took bear head bear took ride lord commander shouted wheeling gallop time reached ring sam always frightened jump horse low stone wall loomed knew choice kicked closed eyes whimpered garron took somehow somehow garron took rider right came crashing tangle steel leather screaming horseflesh wights swarming wedge closing plunged hillside run clutching black hands burning blue eyes blowing snow horses stumbled rolled men swept saddles torches spun air axes swords hacked dead flesh samwell tarly sobbed clutching desperately horse strength never knew middle flying spearhead brothers either side behind well dog ran ways bounding snowy slope among horses could keep wights stood ground ridden trampled underhoof even fell clutched swords stirrups legs passing horses sam saw one claw open garron belly right hand clung saddle left suddenly trees sam splashing frozen stream sounds slaughter dwindling behind turned breathless relief man black leapt brush yanked saddle sam never saw instant galloping away next tried run horse feet tangled root fell hard face lay weeping like baby dolorous edd found last coherent memory fist first men later hours later stood shivering among survivors half mounted half afoot miles fist though sam remember dywen led five packhorses heavy laden food oil torches three made far old bear made redistribute loads loss one horse provisions would catastrophe took garrons healthy men gave wounded organized walkers set torches guard flanks rear need walk sam told took first step toward home hour gone begun struggle lag lagging well saw remembered pyp saying small paul strongest man watch must carry yet even snow growing deeper ground treacherous paul strides begun shorten horsemen passed wounded men looked sam dull incurious eyes torch bearers went well falling behind one told next agreed one like wait paul leave pig dead men promised could bird small paul said even though sam truly mine give want bird talks eats corn hand bloody fool torch man said gone grenn stopped suddenly alone said hoarse voice see torches rear guard small paul answer big man gave grunt sank knees arms trembled lay sam gently snow carry would shivered violently wind sighed trees driving fine spray snow faces cold bitter sam felt naked looked torches gone every one one grenn carried flames rising like pale orange silks could see black beyond torch bum soon thought alone without food friends fire wrong alone lower branches great green sentinel shed burden snow soft wet plop grenn spun thrusting torch goes horse head emerged darkness sam felt moment relief saw horse hoarfrost covered like sheen frozen sweat nest stiff black entrails dragged open belly back rider pale ice sam made whimpery sound deep throat scared might pissed cold cold savage bladder felt frozen solid slid gracefully saddle stand upon snow sword slim milky white armor rippled shifted moved feet break crust new fallen snow small paul unslung long hafted axe strapped across back hurt horse mawney horse sam groped hilt sword scabbard empty lost fist remembered late get away grenn took step thrusting torch away bum poked flames sword gleamed faint blue glow moved toward grenn lightning quick slashing ice blue blade brushed flames screech stabbed sam ears sharp needle head torch tumbled sideways vanish beneath deep drift snow fire snuffed grenn held short wooden stick flung cursing small paul charged axe fear filled sam worse fear ever felt samwell tarly knew every kind fear mother mercy wept forgetting old gods terror father protect oh oh fingers found dagger filled hand wights slow clumsy things light snow wind slid away paul axe armor rippling crystal sword twisted spun slipped iron rings paul mail leather wool bone flesh came back hissssssssssss sam heard paul say oh lost axe impaled blood smoking around sword big man tried reach killer hands almost fell weight tore strange pale sword grip stop crying fight baby fight craven father heard alliser thorne brother dickon boy rast craven craven craven giggled hysterically wondering would make wight huge fat white wight always tripping dead feet sam jon jon dead stumbling forward falling running really closing eyes shoving dagger blindly hands heard crack like sound ice makes breaks beneath man foot screech shrill sharp went staggering backward hands muffled ears fell hard arse opened eyes armor running legs rivulets pale blue blood hissed steamed around black dragonglass dagger throat reached two bone white hands pull knife fingers touched obsidian smoked sam rolled onto side eyes wide shrank puddled dissolving away twenty heartbeats flesh gone swirling away fine white mist beneath bones like milkglass pale shiny melting finally dragonglass dagger remained wreathed steam alive sweating grenn bent scoop flung mother cold obsidian sam struggled knees dragonglass call dragonglass dragon glass giggled cried doubled heave courage onto snow grenn pulled sam feet checked small paul pulse closed eyes snatched dagger time able hold keep sam said craven like craven killed grenn pointed knife look trees pink light dawn sam dawn must east head way catch mormont say sam kicked left foot tree knock snow right try grimacing took step try hard another chapter 19\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":14}]},{"cell_type":"code","source":["got.groupby('Name').size().sort_values()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":962},"id":"kKYILfUPVN0p","outputId":"52fd8139-64cd-44e3-bee9-b48f172271c2","executionInfo":{"status":"ok","timestamp":1763464824484,"user_tz":-60,"elapsed":45,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":15,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Name\n","Epilogue 1\n","The Queenmaker 1\n","The Prophet 1\n","The Princess in The Tower 1\n","The Kraken's Daughter 1\n","The Iron Captain 1\n","The Drowned Man 1\n","The Soiled Knight 1\n","The Reaver 1\n","The Captain Of Guards 1\n","Appendix 3\n","Intro 4\n","Prologue 4\n","Theon 6\n","Brienne 8\n","Davos 9\n","Cersei 10\n","Samwell 10\n","Eddard 15\n","Jaime 16\n","Bran 18\n","Daenerys 21\n","Catelyn 24\n","Sansa 24\n","Jon 29\n","Arya 31\n","Tyrion 35\n","dtype: int64"],"text/html":["
\n","\n",""]},"metadata":{}}]},{"cell_type":"markdown","source":["We now evaluate the performance of our clustering. We have already covered the rand score and the v-measure score, but some of these metrics below will be new to you. Read about them!\n","
\n","
Adjusted mutual info score
\n","
Homogeneity score
\n","
Completeness score
\n","
Fowlkes mallows score
\n","
"],"metadata":{"id":"rZyF5gQkZrJa"}},{"cell_type":"code","source":["from sklearn.metrics import (rand_score, adjusted_mutual_info_score,\n"," homogeneity_score, completeness_score,\n"," v_measure_score, fowlkes_mallows_score)\n","\n","def score_clustering(true_labels, predicted_labels):\n"," d = {\n"," \"Rand index\": rand_score(true_labels, predicted_labels),\n"," \"Adjusted Mutual Info\": adjusted_mutual_info_score(true_labels, predicted_labels),\n"," \"Homogeneity\": homogeneity_score(true_labels, predicted_labels),\n"," \"Completeness\": completeness_score(true_labels, predicted_labels),\n"," \"V measure\": v_measure_score(true_labels, predicted_labels),\n"," \"Fowlkes Mallows\": fowlkes_mallows_score(true_labels, predicted_labels),\n"," }\n"," for k, v in d.items():\n"," print(f\"{k:21s}: {v}\")"],"metadata":{"id":"cjH_MbWDVwfW","executionInfo":{"status":"ok","timestamp":1763465227217,"user_tz":-60,"elapsed":9,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":26,"outputs":[]},{"cell_type":"code","source":["from sklearn.cluster import KMeans\n","\n","kmeans = KMeans(n_clusters=len(names), random_state=1)\n","labels_pred = kmeans.fit_predict(X)\n","predicted_labels_as_names = [names[i] for i in labels_pred]"],"metadata":{"id":"Il2BuIi9V0DZ","executionInfo":{"status":"ok","timestamp":1763465246193,"user_tz":-60,"elapsed":246,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":27,"outputs":[]},{"cell_type":"code","source":["plt.figure(figsize=(8, 8))\n","sns.scatterplot(x = scatter_x, y=scatter_y, hue=labels_pred.astype(str), s=150,legend=\"full\")\n","for i, name in enumerate(predicted_labels_as_names):\n"," plt.text(scatter_x[i], scatter_y[i], name, fontsize=9)\n","plt.tight_layout()\n","plt.axis('off')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":783},"id":"PDL8fdELV2xE","outputId":"410751d4-3d08-4bf5-a6bd-9b7fae8f3c6a","executionInfo":{"status":"ok","timestamp":1763465251016,"user_tz":-60,"elapsed":2855,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":28,"outputs":[{"output_type":"display_data","data":{"text/plain":[""],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["score_clustering(got.Name, labels_pred)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1rp-Mc8NV6Ms","outputId":"6842ac8a-5c67-4d43-d1ca-c51da79154c8","executionInfo":{"status":"ok","timestamp":1763465317653,"user_tz":-60,"elapsed":24,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":29,"outputs":[{"output_type":"stream","name":"stdout","text":["Rand index : 0.9802083333333333\n","Adjusted Mutual Info : 0.9015623692167485\n","Homogeneity : 0.9222467395909097\n","Completeness : 0.9097674525767646\n","V measure : 0.9159645929730406\n","Fowlkes Mallows : 0.8807102161156556\n"]}]},{"cell_type":"markdown","source":["## KElbowVisualizer\n","\n","The KElbowVisualizer is a tool from the Yellowbrick library in Python designed to assist with clustering analysis, specifically in identifying the optimal number of clusters (k) for clustering algorithms like K-Means. It implements the elbow method, which is a popular heuristic for determining the ideal number of clusters by analyzing the rate of decrease in the distortion score (inertia) as the number of clusters increases.\n","\n","###Key Features:\n","- **Visualization of the Elbow Method:** Plots the inertia for different values of k to help pinpoint where adding more clusters provides diminishing returns (the \"elbow\").\n","- **Support for KMeans and MiniBatchKMeans:** Easily integrates with these clustering models.\n","- **Automated Detection of the Elbow:** Provides a suggested k using the \"knee\" point algorithm.\n","\n","###How It Works:\n","- **Inertia/Distortion Score:** Measures how tightly data points are grouped around cluster centroids. A lower inertia implies better-defined clusters.\n","- **The \"Elbow Point\":** As k increases, inertia decreases. However, the decrease slows down at some point (the elbow), indicating the optimal number of clusters."],"metadata":{"id":"9IHLgOW_5tyy"}},{"cell_type":"code","source":["from yellowbrick.cluster import KElbowVisualizer\n","# See https://www.scikit-yb.org/en/latest/api/cluster/elbow.html"],"metadata":{"id":"lGz-NqVDWHVh","executionInfo":{"status":"ok","timestamp":1763466203419,"user_tz":-60,"elapsed":398,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":30,"outputs":[]},{"cell_type":"code","source":["%%time\n","model = KMeans(random_state=1)\n","visualizer = KElbowVisualizer(model, k=(2, 20), metric='silhouette')\n","\n","# EXERCISE: fit to data\n","visualizer.fit(X)\n","visualizer.show()\n","# This will take a while"],"metadata":{"id":"W1QeblrIWJAC","colab":{"base_uri":"https://localhost:8080/","height":596},"outputId":"7e410d5f-acaa-43c3-edc3-ec4d1d0772e2","executionInfo":{"status":"ok","timestamp":1763466312292,"user_tz":-60,"elapsed":9479,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":32,"outputs":[{"output_type":"display_data","data":{"text/plain":[""],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["CPU times: user 6.51 s, sys: 43.8 ms, total: 6.56 s\n","Wall time: 9.42 s\n"]},{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":32}]},{"cell_type":"code","source":["visualizer.elbow_value_"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KTDgH6N97bpH","outputId":"2304078f-69a3-4bc4-cc15-52dd67776bac","executionInfo":{"status":"ok","timestamp":1763466345153,"user_tz":-60,"elapsed":60,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":33,"outputs":[{"output_type":"execute_result","data":{"text/plain":["np.int64(3)"]},"metadata":{},"execution_count":33}]},{"cell_type":"markdown","source":["Interestingly the Elbow Method only finds 3 clusters, possibly one for the North, another for the Lancasters and another for Daenerys substories. Maybe it could be said that our intuitive clustering reasons for this dataset don't match the Elbow Method clustering criteria."],"metadata":{"id":"4zbzBt2Fca7z"}},{"cell_type":"code","source":["kmeans = KMeans(n_clusters=visualizer.elbow_value_, random_state=1)\n","elbow_labels_pred = kmeans.fit_predict(X)"],"metadata":{"id":"dQPdTW5kWKm3","executionInfo":{"status":"ok","timestamp":1763466431039,"user_tz":-60,"elapsed":42,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":34,"outputs":[]},{"cell_type":"code","source":["score_clustering(got.Name, elbow_labels_pred)"],"metadata":{"id":"5MuecsmRWMOy","colab":{"base_uri":"https://localhost:8080/"},"outputId":"e0f47298-d2b6-4460-f38d-d658e87a29a8","executionInfo":{"status":"ok","timestamp":1763466435291,"user_tz":-60,"elapsed":24,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":35,"outputs":[{"output_type":"stream","name":"stdout","text":["Rand index : 0.6383578431372549\n","Adjusted Mutual Info : 0.45143985139806336\n","Homogeneity : 0.31835722145661866\n","Completeness : 0.8931563875850279\n","V measure : 0.4694008944773245\n","Fowlkes Mallows : 0.4227017386609469\n"]}]},{"cell_type":"markdown","source":["## K-Means from scratch\n","Let's have a close look on how K-Means is implemented. Probably you'll find it simpler than you expected. Try a couple of times to solve each exercise before you check the original implementation, [by Juan C Olamendy](https://medium.com/@juanc.olamendy/back-to-basics-mastering-k-means-clustering-with-numpy-ae7e6f1cb9a3#:~:text=At%20its%20heart%2C%20K%2DMeans,2%20and%203%20until%20convergence.)."],"metadata":{"id":"a6YlpU0cLOQH"}},{"cell_type":"code","source":["import numpy as np\n","import matplotlib.pyplot as plt\n","\n","class KMeans:\n"," def __init__(self, n_clusters=3, max_iters=100, random_state=None):\n"," self.n_clusters = n_clusters\n"," self.max_iters = max_iters\n"," self.random_state = random_state\n"," self.centroids = None\n","\n"," def fit(self, X):\n"," if self.random_state:\n"," np.random.seed(self.random_state)\n","\n"," # Initialize centroids\n"," # EXERCISE: initialize the correct number of centroids as randomly chosen points within the dataset\n"," idx = np.random.choice(len(X), self.n_clusters, replace=False)\n"," self.centroids = X[idx]\n","\n"," labels = None\n"," for _ in range(self.max_iters):\n"," # Assign clusters\n"," # EXERCISE: calculate the distances in X\n"," clusters = self._calculate_distances(X)\n"," labels = np.argmin(clusters, axis=0)\n"," # Update centroids\n"," # EXERCISE: take the mean only of those whose labels == k\n"," new_centroids = np.array([\n"," X[labels == k].mean(axis=0)\n"," for k in range(self.n_clusters)\n"," ])\n"," # Check for convergence\n"," if np.all(self.centroids == new_centroids):\n"," break\n","\n"," self.centroids = new_centroids\n","\n"," return labels\n","\n"," def predict(self, X):\n"," return self._calculate_distances(X).argmin(axis=0)\n","\n"," def _calculate_distances(self, X):\n"," return np.array([\n"," np.linalg.norm(X - centroid, axis=1)\n"," for centroid in self.centroids\n"," ])"],"metadata":{"id":"_EG-ISStggxy","executionInfo":{"status":"ok","timestamp":1763466776954,"user_tz":-60,"elapsed":11,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}}},"execution_count":36,"outputs":[]},{"cell_type":"markdown","source":["Let's create a toy dataset"],"metadata":{"id":"tuHAh5_jRpjJ"}},{"cell_type":"code","source":["# Toy data creation\n","means = [[2, 2], [8, 3], [3, 6]]\n","vars = [.5, .1, .2]\n","N = 100\n","\n","Xs = []\n","for i in range(0, len(means)):\n"," X = np.random.normal(means[i], vars[i], (N, 2))\n"," Xs.append(X)\n","\n","X = np.concatenate(Xs)\n","\n","print(X.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rNB-N0jsRrsJ","executionInfo":{"status":"ok","timestamp":1763466782247,"user_tz":-60,"elapsed":9,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"1aa06b2b-edec-4f30-c96d-b2eeb86ecdfe"},"execution_count":37,"outputs":[{"output_type":"stream","name":"stdout","text":["(300, 2)\n"]}]},{"cell_type":"code","source":["\n","kmeans = KMeans(n_clusters=3, random_state=42, max_iters=1)\n","labels = kmeans.fit(X)\n","print(labels)\n","\n","cmap = plt.get_cmap('hot')\n","plt.set_cmap(cmap)\n","plt.scatter(X[:, 0], X[:, 1], c=labels, cmap='viridis', s=50)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":645},"id":"U2P-4B7lRjYh","executionInfo":{"status":"ok","timestamp":1763466788633,"user_tz":-60,"elapsed":154,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"c6ed33b9-81fe-4ef0-a1a9-b68fc650accb"},"execution_count":38,"outputs":[{"output_type":"stream","name":"stdout","text":["[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n"," 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n"," 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2\n"," 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n"," 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n"," 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1\n"," 1 1 1 0 0 1 0 1 1 0 0 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 0 0 0 0 1 1 0 1 0 1 1\n"," 1 1 1 1 1 0 1 1 0 0 1 1 1 0 0 1 1 1 0 1 1 1 0 0 0 1 0 1 1 1 1 1 1 1 1 0 0\n"," 1 1 1 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\n"},"metadata":{}}]},{"cell_type":"code","source":["kmeans = KMeans(n_clusters=3, random_state=42, max_iters=3)\n","labels = kmeans.fit(X)\n","print(labels)\n","\n","cmap = plt.get_cmap('hot')\n","plt.set_cmap(cmap)\n","plt.scatter(X[:, 0], X[:, 1], c=labels, cmap='viridis', s=50)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":645},"id":"03vui0wpSPxr","executionInfo":{"status":"ok","timestamp":1763466798534,"user_tz":-60,"elapsed":164,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"2d1ca8d6-8ce5-4fc0-daad-72e7e8fb48bf"},"execution_count":39,"outputs":[{"output_type":"stream","name":"stdout","text":["[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n"," 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n"," 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2\n"," 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n"," 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n"," 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n"," 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n"," 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n"," 1 1 1 1]\n"]},{"output_type":"display_data","data":{"text/plain":[""],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## K-Means over a Doc2Vec representation\n","\n","Using K-Means clustering over a Doc2Vec representation combines two powerful techniques for natural language processing (NLP) and unsupervised learning. This approach is widely used to group similar documents, such as articles, reviews, or any text data, into clusters based on semantic similarity."],"metadata":{"id":"3qoYY4Fx8ogt"}},{"cell_type":"code","source":["# Step 1: Load and Preprocess the Data\n","!pip install gensim\n","from gensim.models.doc2vec import Doc2Vec, TaggedDocument\n","from sklearn.cluster import KMeans\n","from sklearn.decomposition import PCA\n","import matplotlib.pyplot as plt\n","import numpy as np\n","\n","# Example of toy text data\n","documents = [\n"," \"Clustering is a powerful tool in machine learning.\",\n"," \"Doc2Vec creates vector representations of documents.\",\n"," \"KMeans is a popular clustering algorithm.\",\n"," \"Machine learning applications include clustering and classification.\",\n"," \"Vectorization transforms text into numerical format.\",\n"," \"Neural networks are another type of machine learning model.\",\n"," \"Artificial intelligence is transforming the healthcare industry with predictive analytics.\",\n"," \"Quantum computing has the potential to solve complex problems faster than traditional computers.\",\n"," \"The rise of blockchain technology is revolutionizing data security and transparency.\",\n"," \"Electric vehicles are becoming more popular due to their environmental benefits and reduced operating costs.\",\n"," \"Augmented reality is enhancing user experiences in gaming and education.\",\n"," \"The Internet of Things connects devices to create smart homes and cities.\",\n"," \"Renewable energy sources like solar and wind are crucial for a sustainable future.\",\n"," \"Cybersecurity measures are essential to protect sensitive data from potential breaches.\",\n"," \"5G technology is enabling faster internet speeds and more reliable connections globally.\",\n"," \"Robotics is automating repetitive tasks, increasing efficiency across various industries.\",\n","]\n","\n","# Preprocessing: Tagging documents\n","tagged_docs = [TaggedDocument(doc.split(), [i]) for i, doc in enumerate(documents)]\n","\n","# Step 2: Train a Doc2Vec Model\n","model = Doc2Vec(tagged_docs, vector_size=10, window=2, min_count=1, workers=4, epochs=20)\n","\n","# Infer vector representations of documents\n","doc_vectors = np.array([model.infer_vector(doc.split()) for doc in documents])\n","\n","# Step 3: Apply Clustering (e.g., KMeans)\n","n_clusters = 4\n","kmeans = KMeans(n_clusters=n_clusters, random_state=42)\n","labels = kmeans.fit_predict(doc_vectors)\n","\n","# Step 4: Visualize Clusters (Optional)\n","# Reduce dimensionality with PCA\n","pca = PCA(n_components=2)\n","reduced_vectors = pca.fit_transform(doc_vectors)\n","\n","# Scatter plot of clusters\n","plt.figure(figsize=(8, 6))\n","scatter = plt.scatter(reduced_vectors[:, 0], reduced_vectors[:, 1], c=labels, cmap='viridis', s=50)\n","plt.colorbar(scatter, label='Cluster')\n","plt.title('KMeans Clustering on Doc2Vec Representations')\n","plt.xlabel('PCA Component 1')\n","plt.ylabel('PCA Component 2')\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":761},"id":"qqe_Sj7JVZX-","executionInfo":{"status":"ok","timestamp":1763466853943,"user_tz":-60,"elapsed":21710,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"0da7d770-38d5-4f9f-fc4a-571ffe2ad763"},"execution_count":41,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting gensim\n"," Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (8.4 kB)\n","Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.12/dist-packages (from gensim) (2.0.2)\n","Requirement already satisfied: scipy>=1.7.0 in /usr/local/lib/python3.12/dist-packages (from gensim) (1.16.3)\n","Requirement already satisfied: smart_open>=1.8.1 in /usr/local/lib/python3.12/dist-packages (from gensim) (7.5.0)\n","Requirement already satisfied: wrapt in /usr/local/lib/python3.12/dist-packages (from smart_open>=1.8.1->gensim) (2.0.1)\n","Downloading gensim-4.4.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (27.9 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.9/27.9 MB\u001b[0m \u001b[31m37.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: gensim\n","Successfully installed gensim-4.4.0\n"]},{"output_type":"display_data","data":{"text/plain":[""],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Let's see if actually the clusters identified capture ideas that are clear also to us!"],"metadata":{"id":"TxH0LiFP9hMr"}},{"cell_type":"code","source":["from sklearn.feature_extraction.text import TfidfVectorizer\n","from collections import Counter\n","\n","# Step 1: Group Documents by Cluster\n","clustered_docs = {i: [] for i in range(n_clusters)}\n","for i, label in enumerate(labels):\n"," clustered_docs[label].append(documents[i])\n","\n","# Step 2: Extract Keywords for Each Cluster\n","def extract_keywords(docs, top_n=5):\n"," \"\"\"Extract top-n keywords using TF-IDF\"\"\"\n"," vectorizer = TfidfVectorizer(stop_words='english')\n"," X = vectorizer.fit_transform(docs)\n"," feature_array = np.array(vectorizer.get_feature_names_out())\n"," tfidf_sorting = np.argsort(X.toarray().sum(axis=0))[::-1]\n"," top_keywords = feature_array[tfidf_sorting][:top_n]\n"," return top_keywords\n","\n","# Analyze keywords for each cluster\n","topics = {}\n","for cluster_id, docs in clustered_docs.items():\n"," keywords = extract_keywords(docs)\n"," topics[cluster_id] = keywords\n","\n","# Step 3: Display Topics\n","for cluster_id, keywords in topics.items():\n"," print(f\"Cluster {cluster_id} Topic Keywords: {', '.join(keywords)}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AlOyMN6sjnLa","executionInfo":{"status":"ok","timestamp":1763466881623,"user_tz":-60,"elapsed":197,"user":{"displayName":"Joseph Muddle","userId":"10490960282964064031"}},"outputId":"86958539-b715-4768-ab8d-0c549662341f"},"execution_count":42,"outputs":[{"output_type":"stream","name":"stdout","text":["Cluster 0 Topic Keywords: type, networks, neural, learning, machine\n","Cluster 1 Topic Keywords: vectorization, tool, transforms, text, powerful\n","Cluster 2 Topic Keywords: faster, algorithm, kmeans, popular, clustering\n","Cluster 3 Topic Keywords: machine, learning, clustering, classification, applications\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"Dev_73VtkCAd"},"execution_count":null,"outputs":[]}]}