de.aitools.dm.clusterlabeling.algorithms
Class ACarrot2ClusterLabeler

java.lang.Object
  de.aitools.dm.clustering.algorithms.ASoftClusterer
      de.aitools.dm.clusterlabeling.algorithms.ASoftClusterLabeler
          de.aitools.dm.clusterlabeling.algorithms.ACarrot2ClusterLabeler

All Implemented Interfaces:

SoftClusterer, ClusterLabeler

Direct Known Subclasses:

BiSectingKMeans, Lingo, LongTailClusterer, LongTailClusterer2, NoShadowingLabeler, NoShadowingLabeler2, SuffixTreeClustering

public abstract class ACarrot2ClusterLabeler
extends ASoftClusterLabeler

Version:

$Id: ACarrot2ClusterLabeler.java,v 1.4 2011/11/15 10:51:25 hoppe Exp $

Author:

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

Constructor Summary

ACarrot2ClusterLabeler()

Method Summary

abstract java.util.Collection<org.carrot2.core.Cluster>	cluster(java.util.List<org.carrot2.core.Document> data) Creates the clustering based on Carrot2's implementation of Lingo.
abstract java.util.Collection<org.carrot2.core.Cluster>	cluster(java.util.List<org.carrot2.core.Document> data, java.lang.String query)
java.util.Collection<org.carrot2.core.Cluster>	cluster(Result[] data)
java.util.Collection<org.carrot2.core.Cluster>	cluster(Result[] data, java.lang.String query)
int[][]	clusterSoft(java.util.List<org.carrot2.core.Document> data)
int[][]	clusterSoft(Result[] data) Clusters the input data.
int[][]	clusterSoft(java.lang.String[] data) Clusters the input data.
int[][]	clusterSoft(Vector[] data)
int[][]	convertAssignment(int dataSize, java.util.Collection<org.carrot2.core.Cluster> clustering)

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

getClusterLabels

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

clusterSoft, getBiggestRange

Methods inherited from class java.lang.Object

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

Constructor Detail

ACarrot2ClusterLabeler

public ACarrot2ClusterLabeler()

Method Detail

cluster

public abstract java.util.Collection<org.carrot2.core.Cluster> cluster(java.util.List<org.carrot2.core.Document> data)

Creates the clustering based on Carrot2's implementation of Lingo.

Parameters:

data - text documents as input

Returns:

a Collection of Clusters

cluster

public abstract java.util.Collection<org.carrot2.core.Cluster> cluster(java.util.List<org.carrot2.core.Document> data,
                                                                       java.lang.String query)

clusterSoft

public int[][] clusterSoft(java.lang.String[] data)

Description copied from class: ASoftClusterLabeler

Clusters the input data. Be aware that some cluster labeling algorithms such as Lingo perform their own tokenization. Thus, you should not perform stopword removal and stemming prior to calling ASoftClusterLabeler.clusterSoft(String[]).

Specified by:

clusterSoft in class ASoftClusterLabeler

Parameters:

data - input as text documents

Returns:

the clustering of input texts as an 2d-array

clusterSoft

public int[][] clusterSoft(Vector[] data)

Specified by:

clusterSoft in interface SoftClusterer

Specified by:

clusterSoft in class ASoftClusterer

cluster

public java.util.Collection<org.carrot2.core.Cluster> cluster(Result[] data)

cluster

public java.util.Collection<org.carrot2.core.Cluster> cluster(Result[] data,
                                                              java.lang.String query)

clusterSoft

public int[][] clusterSoft(Result[] data)

Description copied from class: ASoftClusterLabeler

Clusters the input data. Be aware that some cluster labeling algorithms such as Lingo perform their own tokenization. Thus, you should not perform stopword removal and stemming prior to calling ASoftClusterLabeler.clusterSoft(String[]).

Specified by:

clusterSoft in interface SoftClusterer

Specified by:

clusterSoft in class ASoftClusterLabeler

Parameters:

data - input as text documents

Returns:

the clustering of input texts as an 2d-array

clusterSoft

public int[][] clusterSoft(java.util.List<org.carrot2.core.Document> data)

convertAssignment

public int[][] convertAssignment(int dataSize,
                                 java.util.Collection<org.carrot2.core.Cluster> clustering)