GitHub - vksh224/Clustering: Implemented and analyzed K clustering algorithm with different similarity metrics i.e., euclidean similarity, cosine similarity and Jaccard similarity metrics.

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Implemented and analyzed K clustering algorithm with different similarity metrics i.e., euclidean similarity, cosine similarity and Jaccard similarity metrics.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
CosineSimilarityGeneral		CosineSimilarityGeneral
Cosine_Similarity		Cosine_Similarity
EuclideanDefaultGeneral		EuclideanDefaultGeneral
EuclideanSimilarityGeneral		EuclideanSimilarityGeneral
Euclidean_Default		Euclidean_Default
Euclidean_Similarity		Euclidean_Similarity
JaccardSimilarityGeneral		JaccardSimilarityGeneral
Jaccard_Similarity		Jaccard_Similarity
Output		Output
Plots		Plots
.DS_Store		.DS_Store
cluster_command.txt		cluster_command.txt
clustering.pdf		clustering.pdf
dataMatrix.csv		dataMatrix.csv
kMeansPlain.py		kMeansPlain.py

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Implemented and analyzed K clustering algorithm with different similarity metrics i.e., euclidean similarity, cosine similarity and Jaccard similarity metrics.

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