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.
spark entropy clustering embeddings kullback-leibler-divergence cosine-similarity k-means spark-mllib similarity-search euclidean-distance bregman-divergence itakura-saito-divergence
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Updated
Oct 24, 2025 - Scala