GitHub / pprattis / k-nearest-neighbors-for-similarity-by-binary-data

A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user's location preferences and the locations. The binary data (0,1) are the location characteristics.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pprattis%2Fk-nearest-neighbors-for-similarity-by-binary-data
PURL: pkg:github/pprattis/k-nearest-neighbors-for-similarity-by-binary-data

Topics: binary-dataset, computer-science, console-application, cosine-similarity, euclidean-distance, hamming-distance, java, k-nearest-neighbours, knn, manhattan-distance, program, similarity, similarity-score, student

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• Readme
• Dependencies