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Tool profile

derrickburns/generalized-kmeans-clustering

dying

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.

bregman-divergenceclusteringcosine-similarityembeddingsentropyeuclidean-distanceitakura-saito-divergencek-means
Velocity score
0.00/ 10
[STARS]
342
[FORKS]
53
[CONTRIBUTORS]
5
[LAST_COMMIT]
3mo ago
OPEN_ON_GITHUB
Velocity class: dying
Is derrickburns/generalized-kmeans-clustering still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
368/ 1000
other · derrickburns/generalized-kmeans-clustering
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
313
[INSTALL_VEL]
500
[ACTIVITY]
260
[COMMUNITY_SIGNAL]
456

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout