org.deeplearning4j.clustering.kmeans

Class KMeansClustering

java.lang.Object

org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm

org.deeplearning4j.clustering.kmeans.KMeansClustering

All Implemented Interfaces:

Serializable, ClusteringAlgorithm

public class KMeansClustering
extends BaseClusteringAlgorithm

Author:

Julien Roch

See Also:

Serialized Form

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	KMeansClustering(ClusteringStrategy clusteringStrategy)

Method Summary

Modifier and Type	Method and Description
static KMeansClustering	setup(int clusterCount, double minDistributionVariationRate, String distanceFunction, boolean allowEmptyClusters)
static KMeansClustering	setup(int clusterCount, int maxIterationCount, String distanceFunction)

Methods inherited from class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm

applyClusteringStrategy, applyTo, classifyPoints, initClusters, optimize, removeEmptyClusters, removePoints, setup

Methods inherited from class java.lang.Object

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

Constructor Detail

KMeansClustering

protected KMeansClustering(ClusteringStrategy clusteringStrategy)

Method Detail

setup

public static KMeansClustering setup(int clusterCount,
                                     int maxIterationCount,
                                     String distanceFunction)

setup

public static KMeansClustering setup(int clusterCount,
                                     double minDistributionVariationRate,
                                     String distanceFunction,
                                     boolean allowEmptyClusters)