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.
- euclidean-distance
- bregman-divergence
- cosine-similarity
- itakura-saito-divergence
- embeddings
- similarity-search
- k-means
- clustering
- kullback-leibler-divergence
- spark
- entropy
- spark-mllib
Scala versions:
2.10
massivedatascience-clusterer 1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7
Group ID:
com.massivedatascience
Artifact ID:
massivedatascience-clusterer_2.10
Version:
1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7
Release Date:
Apr 20, 2015
Licenses:
libraryDependencies += "com.massivedatascience" %% "massivedatascience-clusterer" % "1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7"
resolvers += Resolver.bintrayRepo("derrickburns", "maven")
ivy"com.massivedatascience::massivedatascience-clusterer:1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7"
MavenRepository("https://dl.bintray.com/derrickburns/maven")
//> using dep "com.massivedatascience::massivedatascience-clusterer:1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7"
import $ivy.`com.massivedatascience::massivedatascience-clusterer:1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7` import ammonite._, Resolvers._ val res = Resolver.Http( "Bintray derrickburns maven", "Some(https://dl.bintray.com/derrickburns/maven)", IvyPattern, false) interp.resolvers() = interp.resolvers() :+ res
<dependency> <groupId>com.massivedatascience</groupId> <artifactId>massivedatascience-clusterer_2.10</artifactId> <version>1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7</version> </dependency>
compile group: 'com.massivedatascience', name: 'massivedatascience-clusterer_2.10', version: '1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7'
