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.
derrickburns/generalized-kmeans-clustering
View on GitHub ↗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.
generalized-kmeans-clustering grew +0.0% in the last 30 days, ranks 6th of 10 in Classical ML, last commit 252 days ago.
Star trajectory
115 days tracked+0.0% in 30d, below the Classical ML median of +0.0%.
Last commit 252 days ago, staler than the median of 221d.
How it compares in Classical ML
Ranked 6th of 10 by stars.
- Language
- Scala
- License
- Apache License 2.0
- Contributors
- 5
- Forks
- 53
- Watchers
- 17
- Open issues
- 0
- Releases
- 1
- Created
- 2014-09-03
- Stars this week
- +0
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