derrickburns / generalized-kmeans-clustering 1.2.2

Apache License 2.0 Website 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.

Scala versions: 2.10

massivedatascience-clusterer 0.7.0

Group ID:

com.massivedatascience

Artifact ID:

massivedatascience-clusterer_2.13

Version:

0.7.0

Release Date:

Feb 12, 2026

Licenses:

Apache-2.0

Files:

View all

Full Scala Version:

2.13.14

Developers:

Derrick Burns

libraryDependencies += "com.massivedatascience" %% "massivedatascience-clusterer" % "0.7.0"

Mill build tool

ivy"com.massivedatascience::massivedatascience-clusterer:0.7.0"

Scala CLI

//> using dep "com.massivedatascience::massivedatascience-clusterer:0.7.0"

Ammonite REPL

import $ivy.`com.massivedatascience::massivedatascience-clusterer:0.7.0`

<dependency>
  <groupId>com.massivedatascience</groupId>
  <artifactId>massivedatascience-clusterer_2.13</artifactId>
  <version>0.7.0</version>
</dependency>

compile group: 'com.massivedatascience', name: 'massivedatascience-clusterer_2.13', version: '0.7.0'

derrickburns / generalized-kmeans-clustering 1.2.2

massivedatascience-clusterer 0.7.0

Documentation

Try online with Scastie

11 Dependencies

No Dependent