derrickburns/generalized-kmeans-clustering

Production-ready K-Means clustering for Apache Spark with pluggable Bregman divergences (KL, Itakura-Saito, L1, etc). 6 algorithms, 740 tests, cross-version persistence. Drop-in replacement for MLlib with mathematically correct distance functions for probability distributions, spectral data, and count data.

语言：Scala · GitHub 星标：342 · Fork：53

话题：bregman-divergence · clustering · cosine-similarity · embeddings · entropy · euclidean-distance · itakura-saito-divergence · k-means

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