ai.libs.jaicore.ml.clustering

Class GMeans<C extends org.apache.commons.math3.ml.clustering.Clusterable>

java.lang.Object

ai.libs.jaicore.ml.clustering.GMeans<C>

Type Parameters:

C - Points to cluster.

public class GMeans<C extends org.apache.commons.math3.ml.clustering.Clusterable>
extends java.lang.Object

Implementation of Gmeans based on Helen Beierlings implementation of GMeans(https://github.com/helebeen/AILibs/blob/master/JAICore/jaicore-modifiedISAC/src/main/java/jaicore/modifiedISAC/ModifiedISACgMeans.java).
For more Information see: "Hamerly, G., and Elkan, C. 2003. Learning the k in kmeans. in proceedings of the seventeenth annual conference on neural information processing systems (nips)".

This implementation uses KMeansPlusPlusClusterer as the k-means cluster algorithm.

Constructor Summary

Constructors

Constructor and Description
GMeans(java.util.Collection<C> toClusterPoints) Initializes a basic cluster for the given Point using Mannhatten distance and seed=1
GMeans(java.util.Collection<C> toClusterPoints, org.apache.commons.math3.ml.distance.DistanceMeasure distanceMeasure, long seed) Initializes a cluster for the given Point using a given distance meassure and a seed.

Method Summary

Modifier and Type	Method and Description
java.util.List<org.apache.commons.math3.ml.clustering.CentroidCluster<C>>	cluster()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GMeans

public GMeans(java.util.Collection<C> toClusterPoints)

Initializes a basic cluster for the given Point using Mannhatten distance and seed=1

Parameters:

toClusterPoints - Points which should be clustered

GMeans

public GMeans(java.util.Collection<C> toClusterPoints,
              org.apache.commons.math3.ml.distance.DistanceMeasure distanceMeasure,
              long seed)

Initializes a cluster for the given Point using a given distance meassure and a seed.

Parameters:

toClusterPoints - P

distanceMeasure -

seed -

Method Detail

cluster

public java.util.List<org.apache.commons.math3.ml.clustering.CentroidCluster<C>> cluster()