de.aitools.dm.clusterlabeling.algorithms
Class WeightedCentroidCovering

java.lang.Object
  de.aitools.dm.clustering.algorithms.ASoftClusterer
      de.aitools.dm.clustering.algorithms.AClusterer
          de.aitools.dm.clusterlabeling.algorithms.AClusterLabeler
              de.aitools.dm.clusterlabeling.algorithms.TopicIdentifier
                  de.aitools.dm.clusterlabeling.algorithms.WeightedCentroidCovering

All Implemented Interfaces:

Clusterer, SoftClusterer, ClusterLabeler

public class WeightedCentroidCovering
extends TopicIdentifier

Weighted Centroid Covering --- a data-centric Cluster-Labeling algorithm

Implementation based on:

 Topic identification: Framework and application, 2004
 by Stein, BM and zu Eissen, S
 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.113.1501&rep=rep1&type=pdf
 

Version:

$Id: WeightedCentroidCovering.java,v 1.5 2011/07/18 15:51:21 hoppe Exp $

Author:

dennis.hoppe(/\t)uni-weimar.de

Nested Class Summary

Nested classes/interfaces inherited from class de.aitools.dm.clusterlabeling.algorithms.TopicIdentifier

TopicIdentifier.ClusterLabelCandidate

Field Summary

Fields inherited from interface de.aitools.dm.clustering.Clusterer

DEFAULT_SEED

Constructor Summary

WeightedCentroidCovering(Clusterer clusterer, VectorSpace vocabulary, java.util.List<java.lang.String> data, int numTerms)

Method Summary

java.lang.String[]

getClusterLabels()

Methods inherited from class de.aitools.dm.clusterlabeling.algorithms.TopicIdentifier

cluster

Methods inherited from class de.aitools.dm.clustering.algorithms.AClusterer

cluster, cluster, cluster, clusterSoft

Methods inherited from class de.aitools.dm.clustering.algorithms.ASoftClusterer

clusterSoft, clusterSoft, clusterSoft, getBiggestRange

Methods inherited from class java.lang.Object

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

Constructor Detail

WeightedCentroidCovering

public WeightedCentroidCovering(Clusterer clusterer,
                                VectorSpace vocabulary,
                                java.util.List<java.lang.String> data,
                                int numTerms)

Parameters:

clusterer -

data -

numTerms -

Method Detail

getClusterLabels

public java.lang.String[] getClusterLabels()

Returns:

an array of cluster labels