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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

Mentions per year 5 mentions · busiest year 2025 (4)
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  1. # 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
  2. # 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