dragon.ir.clustering

Class HierClustering

java.lang.Object

dragon.ir.clustering.AbstractClustering

dragon.ir.clustering.HierClustering

All Implemented Interfaces:

Clustering

public class HierClustering
extends AbstractClustering

Hierarchical clustering with options of single, complete, and average linkage

Copyright: Copyright (c) 2006

Company: Drexel University

Version:

1.0

Author:

Xiaodan Zhang

Field Summary

Fields

Modifier and Type	Field and Description
static int	AVERAGE_LINKAGE
static int	COMPLETE_LINKAGE
static int	SINGLE_LINKAGE

Fields inherited from class dragon.ir.clustering.AbstractClustering

clusterNum, clusterSet, featureFilter, indexReader, randomSeed, showProgress

Constructor Summary

Constructors

Constructor and Description
HierClustering(IndexReader indexReader, DocDistance distMetric, int clusterNum, int linkage)

Method Summary

Modifier and Type	Method and Description
boolean	cluster(IRDoc[] arrDoc) Cluster given testing documents to the given number of clusters

Methods inherited from class dragon.ir.clustering.AbstractClustering

cluster, getCluster, getClusterNum, getClusterSet, getFeatureFilter, getIndexReader, getRandomSeed, setFeatureFilter, setRandomSeed, setShowProgress

Methods inherited from class java.lang.Object

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

Field Detail

SINGLE_LINKAGE

public static final int SINGLE_LINKAGE

See Also:

Constant Field Values

AVERAGE_LINKAGE

public static final int AVERAGE_LINKAGE

See Also:

Constant Field Values

COMPLETE_LINKAGE

public static final int COMPLETE_LINKAGE

See Also:

Constant Field Values

Constructor Detail

HierClustering

public HierClustering(IndexReader indexReader,
                      DocDistance distMetric,
                      int clusterNum,
                      int linkage)

Method Detail

cluster

public boolean cluster(IRDoc[] arrDoc)

Description copied from interface: Clustering

Cluster given testing documents to the given number of clusters

Parameters:

arrDoc - the document set for clustering

Returns:

true if clustering successfully