derrickburns/generalized-kmeans-clustering
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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.
5 mentions on Hacker News by 1 person: 3 stories, 2 comments · first 2024-01-13 · latest 2025-10-20
20082026
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# HackerNews Announcement ## Title Generalized K-Means Clustering for Apache Spark with Bregman Divergences ## Body (3,982 characters) I've built a production-ready K-Means library for Apache Spark that supports multiple distance functions…
comment by derrickrburns · 2025-10-20 · in Generalized K-Means Clustering -
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Generalized K-Means Clusteringstory by derrickrburns · 2025-10-20 · 12 comments
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# HackerNews Announcement ## Title Generalized K-Means Clustering for Apache Spark with Bregman Divergences ## Body (3,982 characters) I've built a production-ready K-Means library for Apache Spark that supports multiple distance functions…
comment by derrickrburns · 2025-10-19 · in Generalized K-Means Clustering for Apache Spark with Bregman Divergences -
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Generalized K-Means Clustering for Apache Spark with Bregman Divergencesstory by derrickrburns · 2025-10-19 · 1 comment
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Generalized K-Means Clusteringstory by derrickrburns · 2024-01-13 · 80 comments