de.aitools.dm.clusterlabeling.algorithms
Class FrequentPredictiveWords

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.FrequentPredictiveWords

All Implemented Interfaces:

Clusterer, SoftClusterer, ClusterLabeler

public class FrequentPredictiveWords
extends TopicIdentifier

Frequent and predictive words -- a data-centric Cluster-Labeling algorithm.

Implementation based on:

 Automatic labeling of document clusters, 2000
 by Popescul, A and Ungar, L
 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.33.141&rep=rep1&type=pdf
 

Version:

$Id: FrequentPredictiveWords.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

FrequentPredictiveWords(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

FrequentPredictiveWords

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

Parameters:

clusterer -

vocabulary -

data -

numTerms -

Method Detail

getClusterLabels

public java.lang.String[] getClusterLabels()

Returns:

an array of cluster labels