org.deeplearning4j.clustering.algorithm

Class BaseClusteringAlgorithm

java.lang.Object

org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm

All Implemented Interfaces:

java.io.Serializable, ClusteringAlgorithm

Direct Known Subclasses:

KMeansClustering

public class BaseClusteringAlgorithm
extends java.lang.Object
implements ClusteringAlgorithm, java.io.Serializable

adapted to ndarray matrices

See Also:

Serialized Form

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	BaseClusteringAlgorithm()
protected	BaseClusteringAlgorithm(ClusteringStrategy clusteringStrategy)

Method Summary

Modifier and Type	Method and Description
protected void	applyClusteringStrategy()
ClusterSet	applyTo(java.util.List<Point> points)
protected void	classifyPoints()
protected void	initClusters() Initialize the cluster centers at random
protected void	optimize()
protected int	removeEmptyClusters(ClusterSetInfo clusterSetInfo)
protected void	removePoints()
static BaseClusteringAlgorithm	setup(ClusteringStrategy clusteringStrategy)

Methods inherited from class java.lang.Object

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

Constructor Detail

BaseClusteringAlgorithm

protected BaseClusteringAlgorithm()

BaseClusteringAlgorithm

protected BaseClusteringAlgorithm(ClusteringStrategy clusteringStrategy)

Method Detail

setup

public static BaseClusteringAlgorithm setup(ClusteringStrategy clusteringStrategy)

applyTo

public ClusterSet applyTo(java.util.List<Point> points)

Specified by:

applyTo in interface ClusteringAlgorithm

classifyPoints

protected void classifyPoints()

initClusters

protected void initClusters()

Initialize the cluster centers at random

applyClusteringStrategy

protected void applyClusteringStrategy()

optimize

protected void optimize()

removeEmptyClusters

protected int removeEmptyClusters(ClusterSetInfo clusterSetInfo)

removePoints

protected void removePoints()