edu.ucla.sspace.clustering

Class DataMatrixLinkClustering

java.lang.Object

edu.ucla.sspace.clustering.DataMatrixLinkClustering

All Implemented Interfaces:

Clustering

public class DataMatrixLinkClustering
extends Object
implements Clustering

Author:

Keith Stevens

Constructor Summary

Constructors

Constructor and Description
DataMatrixLinkClustering()
DataMatrixLinkClustering(AffinityMatrixCreator creator)

Method Summary

Methods

Modifier and Type	Method and Description
Assignments	cluster(Matrix matrix, int numClusters, Properties props) Clusters the set of rows in the given Matrix into the specified number of clusters.
Assignments	cluster(Matrix matrix, Properties props) Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
static AffinityMatrixCreator	createDefaultAffinityMatrixCreator()

Methods inherited from class java.lang.Object

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

Constructor Detail

DataMatrixLinkClustering

public DataMatrixLinkClustering()

DataMatrixLinkClustering

public DataMatrixLinkClustering(AffinityMatrixCreator creator)

Method Detail

createDefaultAffinityMatrixCreator

public static AffinityMatrixCreator createDefaultAffinityMatrixCreator()

cluster

public Assignments cluster(Matrix matrix,
                  int numClusters,
                  Properties props)

Description copied from interface: Clustering

Clusters the set of rows in the given Matrix into the specified number of clusters. The set of cluster assignments are returned for each row in the matrix.

Specified by:

cluster in interface Clustering

Parameters:

matrix - the Matrix whose row data points are to be clustered

numClusters - the number of clusters to generate

props - the properties to use for any parameters each clustering algorithm may need

Returns:

an array of Assignment instances that indicate zero or more clusters to which each row belongs.

cluster

public Assignments cluster(Matrix matrix,
                  Properties props)

Description copied from interface: Clustering

Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation). The set of cluster assignments are returned for each row in the matrix.

Specified by:

cluster in interface Clustering

Parameters:

matrix - the Matrix whose row data points are to be clustered

props - the properties to use for any parameters each clustering algorithm may need

Returns:

an array of Assignment instances that indicate zero or more clusters to which each row belongs.