org.carrot2.clustering.lingo

Class UniqueLabelAssigner

java.lang.Object

org.carrot2.clustering.lingo.UniqueLabelAssigner

All Implemented Interfaces:

ILabelAssigner

@Bindable
public class UniqueLabelAssigner
extends Object
implements ILabelAssigner

Assigns unique labels to each base vector using a greedy algorithm. For each base vector chooses the label that maximizes the base vector--label term vector cosine similarity and has not been previously selected. Once a label is selected, it will not be used to label any other vector. This algorithm does not create duplicate cluster labels, which usually means that this assignment method will create more clusters than SimpleLabelAssigner. This method is slightly slower than SimpleLabelAssigner.

Constructor Summary

Constructors

Constructor and Description
UniqueLabelAssigner()

Method Summary

Methods

Modifier and Type	Method and Description
void	assignLabels(LingoProcessingContext context, org.apache.mahout.math.matrix.DoubleMatrix2D stemCos, com.carrotsearch.hppc.IntIntHashMap filteredRowToStemIndex, org.apache.mahout.math.matrix.DoubleMatrix2D phraseCos) Assigns labels to base vectors found by the matrix factorization.

Methods inherited from class java.lang.Object

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

Constructor Detail

UniqueLabelAssigner

public UniqueLabelAssigner()

Method Detail

assignLabels

public void assignLabels(LingoProcessingContext context,
                org.apache.mahout.math.matrix.DoubleMatrix2D stemCos,
                com.carrotsearch.hppc.IntIntHashMap filteredRowToStemIndex,
                org.apache.mahout.math.matrix.DoubleMatrix2D phraseCos)

Description copied from interface: ILabelAssigner

Assigns labels to base vectors found by the matrix factorization. The results must be stored in the LingoProcessingContext.clusterLabelFeatureIndex and LingoProcessingContext.clusterLabelScore arrays.

Specified by:

assignLabels in interface ILabelAssigner

Parameters:

context - contains all information about the current clustering request

stemCos - base vector -- single stems cosine matrix

filteredRowToStemIndex - mapping between row indices of stemCos and indices of stems in PreprocessingContext.allStems

phraseCos - base vector -- phrase cosine matrix