Developed by Andre H. Costa Silva

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Source codes 1-4 based on: http:https://infolab.stanford.edu/~ullman/mmds.html

1) Create a text index

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2) Calculate TF.IDF (Term Frequency times In- verse Document Frequency)

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3) Calculate Jaccard Similarity

S = [1,2,3,4,5]
T = [3,4,5,6,7,8]

jaccard_similarity(S,T) = 3/8 = 0.375


a = [1,1,1,2]
b = [1,1,2,2,3]


bag_jaccard_similarity(S,T) = 3/9 = 0.333

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4) Distance measures: Jaccard Distance, Euclidean Distance, Manhattan Distance, Edit Distance and Hamming Distance

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5) Source code 5 (cosine_similarity) based on Rodrigo's source code implemented in javascript: https://github.com/rdgms/hello_cosine_similarity

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