Catalano.MachineLearning.Clustering

Class PartitionClustering<T>

java.lang.Object

Catalano.MachineLearning.Clustering.PartitionClustering<T>

Type Parameters:

T - the type of input object.

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

KMeans

public abstract class PartitionClustering<T>
extends java.lang.Object
implements java.io.Serializable

Abstract class of partition clustering. Partition methods break the observation into distinct non-overlapping groups.

See Also:

Serialized Form

Method Summary

Modifier and Type	Method and Description
int[]	getClusterLabel() Returns the cluster labels of data.
int[]	getClusterSize() Returns the size of clusters.
int	getNumClusters() Returns the number of clusters.

Methods inherited from class java.lang.Object

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

Method Detail

getNumClusters

public int getNumClusters()

Returns the number of clusters.

getClusterLabel

public int[] getClusterLabel()

Returns the cluster labels of data.

getClusterSize

public int[] getClusterSize()

Returns the size of clusters.