smile.clustering

Class PartitionClustering<T>

java.lang.Object

smile.clustering.PartitionClustering<T>

Type Parameters:

T - the type of input object.

All Implemented Interfaces:

Clustering<T>

Direct Known Subclasses:

CLARANS, DBScan, DENCLUE, KMeans, MEC, SIB

public abstract class PartitionClustering<T>
extends Object
implements Clustering<T>

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

Author:

Haifeng Li

Field Summary

Fields inherited from interface smile.clustering.Clustering

OUTLIER

Method Summary

Methods

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

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

Methods inherited from interface smile.clustering.Clustering

predict

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.