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Machine Learning/UnSupervised Learning/Hierarchical Clustering.ipynb

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dataset/creditcard.csv

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version https://git-lfs.github.com/spec/v1
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oid sha256:76274b691b16a6c49d3f159c883398e03ccd6d1ee12d9d8ee38f4b4b98551a89
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size 150828752

dataset/iris_with_clusters.csv

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sepal length (cm),sepal width (cm),petal length (cm),petal width (cm),true_species,final_cluster
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5.1,3.5,1.4,0.2,0,1
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4.9,3.0,1.4,0.2,0,1
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4.7,3.2,1.3,0.2,0,1
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4.6,3.1,1.5,0.2,0,1
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5.0,3.6,1.4,0.2,0,1
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5.4,3.9,1.7,0.4,0,1
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4.6,3.4,1.4,0.3,0,1
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5.0,3.4,1.5,0.2,0,1
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4.4,2.9,1.4,0.2,0,1
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4.9,3.1,1.5,0.1,0,1
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5.4,3.7,1.5,0.2,0,1
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4.8,3.4,1.6,0.2,0,1
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4.8,3.0,1.4,0.1,0,1
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4.3,3.0,1.1,0.1,0,1
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5.8,4.0,1.2,0.2,0,1
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5.7,4.4,1.5,0.4,0,1
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5.4,3.9,1.3,0.4,0,1
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5.1,3.5,1.4,0.3,0,1
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5.7,3.8,1.7,0.3,0,1
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5.1,3.8,1.5,0.3,0,1
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5.4,3.4,1.7,0.2,0,1
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5.1,3.7,1.5,0.4,0,1
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4.6,3.6,1.0,0.2,0,1
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5.1,3.3,1.7,0.5,0,1
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4.8,3.4,1.9,0.2,0,1
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5.0,3.0,1.6,0.2,0,1
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5.0,3.4,1.6,0.4,0,1
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5.2,3.5,1.5,0.2,0,1
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5.2,3.4,1.4,0.2,0,1
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4.7,3.2,1.6,0.2,0,1
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4.8,3.1,1.6,0.2,0,1
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5.4,3.4,1.5,0.4,0,1
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5.2,4.1,1.5,0.1,0,1
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5.5,4.2,1.4,0.2,0,1
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4.9,3.1,1.5,0.2,0,1
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5.0,3.2,1.2,0.2,0,1
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5.5,3.5,1.3,0.2,0,1
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4.9,3.6,1.4,0.1,0,1
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4.4,3.0,1.3,0.2,0,1
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5.1,3.4,1.5,0.2,0,1
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5.0,3.5,1.3,0.3,0,1
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4.5,2.3,1.3,0.3,0,2
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4.4,3.2,1.3,0.2,0,1
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5.0,3.5,1.6,0.6,0,1
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5.1,3.8,1.9,0.4,0,1
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4.8,3.0,1.4,0.3,0,1
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5.1,3.8,1.6,0.2,0,1
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4.6,3.2,1.4,0.2,0,1
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5.3,3.7,1.5,0.2,0,1
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5.0,3.3,1.4,0.2,0,1
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7.0,3.2,4.7,1.4,1,0
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6.4,3.2,4.5,1.5,1,0
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6.9,3.1,4.9,1.5,1,0
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5.5,2.3,4.0,1.3,1,2
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6.5,2.8,4.6,1.5,1,0
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5.7,2.8,4.5,1.3,1,2
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6.3,3.3,4.7,1.6,1,0
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4.9,2.4,3.3,1.0,1,2
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6.6,2.9,4.6,1.3,1,0
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5.2,2.7,3.9,1.4,1,2
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5.0,2.0,3.5,1.0,1,2
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5.9,3.0,4.2,1.5,1,0
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6.0,2.2,4.0,1.0,1,2
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6.1,2.9,4.7,1.4,1,0
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5.6,2.9,3.6,1.3,1,2
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6.7,3.1,4.4,1.4,1,0
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5.6,3.0,4.5,1.5,1,2
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5.8,2.7,4.1,1.0,1,2
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6.2,2.2,4.5,1.5,1,2
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5.6,2.5,3.9,1.1,1,2
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5.9,3.2,4.8,1.8,1,0
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6.1,2.8,4.0,1.3,1,0
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6.3,2.5,4.9,1.5,1,0
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6.1,2.8,4.7,1.2,1,0
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6.4,2.9,4.3,1.3,1,0
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6.6,3.0,4.4,1.4,1,0
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6.8,2.8,4.8,1.4,1,0
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6.7,3.0,5.0,1.7,1,0
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6.0,2.9,4.5,1.5,1,0
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5.7,2.6,3.5,1.0,1,2
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5.5,2.4,3.8,1.1,1,2
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5.5,2.4,3.7,1.0,1,2
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5.8,2.7,3.9,1.2,1,2
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6.0,2.7,5.1,1.6,1,0
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5.4,3.0,4.5,1.5,1,2
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6.0,3.4,4.5,1.6,1,0
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6.7,3.1,4.7,1.5,1,0
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6.3,2.3,4.4,1.3,1,2
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5.6,3.0,4.1,1.3,1,2
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5.5,2.5,4.0,1.3,1,2
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5.5,2.6,4.4,1.2,1,2
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6.1,3.0,4.6,1.4,1,0
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5.8,2.6,4.0,1.2,1,2
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5.0,2.3,3.3,1.0,1,2
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5.6,2.7,4.2,1.3,1,2
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5.7,3.0,4.2,1.2,1,2
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5.7,2.9,4.2,1.3,1,2
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6.2,2.9,4.3,1.3,1,0
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5.1,2.5,3.0,1.1,1,2
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5.7,2.8,4.1,1.3,1,2
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6.3,3.3,6.0,2.5,2,0
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5.8,2.7,5.1,1.9,2,0
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7.1,3.0,5.9,2.1,2,0
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6.3,2.9,5.6,1.8,2,0
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6.5,3.0,5.8,2.2,2,0
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7.6,3.0,6.6,2.1,2,0
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4.9,2.5,4.5,1.7,2,2
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7.3,2.9,6.3,1.8,2,0
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6.7,2.5,5.8,1.8,2,0
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7.2,3.6,6.1,2.5,2,0
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6.5,3.2,5.1,2.0,2,0
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6.4,2.7,5.3,1.9,2,0
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6.8,3.0,5.5,2.1,2,0
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5.7,2.5,5.0,2.0,2,0
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5.8,2.8,5.1,2.4,2,0
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6.4,3.2,5.3,2.3,2,0
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6.5,3.0,5.5,1.8,2,0
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7.7,3.8,6.7,2.2,2,0
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7.7,2.6,6.9,2.3,2,0
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6.0,2.2,5.0,1.5,2,2
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6.9,3.2,5.7,2.3,2,0
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5.6,2.8,4.9,2.0,2,0
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7.7,2.8,6.7,2.0,2,0
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6.3,2.7,4.9,1.8,2,0
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6.7,3.3,5.7,2.1,2,0
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7.2,3.2,6.0,1.8,2,0
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6.2,2.8,4.8,1.8,2,0
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6.1,3.0,4.9,1.8,2,0
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6.4,2.8,5.6,2.1,2,0
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7.2,3.0,5.8,1.6,2,0
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7.4,2.8,6.1,1.9,2,0
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7.9,3.8,6.4,2.0,2,0
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6.4,2.8,5.6,2.2,2,0
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6.3,2.8,5.1,1.5,2,0
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6.1,2.6,5.6,1.4,2,0
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7.7,3.0,6.1,2.3,2,0
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6.3,3.4,5.6,2.4,2,0
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6.4,3.1,5.5,1.8,2,0
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6.0,3.0,4.8,1.8,2,0
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6.9,3.1,5.4,2.1,2,0
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6.7,3.1,5.6,2.4,2,0
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6.9,3.1,5.1,2.3,2,0
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5.8,2.7,5.1,1.9,2,0
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6.8,3.2,5.9,2.3,2,0
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6.7,3.3,5.7,2.5,2,0
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6.7,3.0,5.2,2.3,2,0
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6.3,2.5,5.0,1.9,2,0
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6.5,3.0,5.2,2.0,2,0
150+
6.2,3.4,5.4,2.3,2,0
151+
5.9,3.0,5.1,1.8,2,0

plots/clusters.png

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plots/dendrogram.png

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plots/silhouette_scores.png

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plots/species_labels.png

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