CRAN

akmeans 1.1

Adaptive Kmeans algorithm based on threshold

Released May 9, 2014 by Jungsuk Kwac

This package is available for Renjin and there are no known compatibility issues.

Adaptive K-means algorithm with various threshold settings. It support two distance metric: Euclidean distance, Cosine distance (1 - cosine similarity) In version 1.1, it contains one more threshold condition.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>akmeans</artifactId>
    <version>1.1-b233</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:akmeans')

Test Results

This package was last tested against Renjin 0.8.2442 on Sep 25, 2017.

Source

R

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Release History