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.



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.

    <name>bedatadriven public repo</name>

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Renjin CLI

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


Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.



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