derrickburns / generalized-kmeans-clustering   1.2.2

Apache License 2.0 Website GitHub

Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.

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")

Mill build tool

ivy"com.massivedatascience::massivedatascience-clusterer:1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7"
MavenRepository("https://dl.bintray.com/derrickburns/maven")

Scala CLI

//> using dep "com.massivedatascience::massivedatascience-clusterer:1.0-9f86973fa49d924861cc0129027b4b2aaa1196a7"

Ammonite REPL

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'