de.aitools.dm.clustering.validation.external
Class AdjustedRandIndex

java.lang.Object
  de.aitools.dm.clustering.validation.ExternalValidationMeasure
      de.aitools.dm.clustering.validation.external.AdjustedRandIndex

public class AdjustedRandIndex
extends ExternalValidationMeasure

References:

   K.~Y. Yeung and W.~L. Russo, 2010.
   Details of the Adjusted Rand index and Clustering algorithms Supplement to 
   the paper 'An empirical study on Principal Component Analysis for 
   clustering gene expression data'.
 

Version:

$Id: AdjustedRandIndex.java,v 1.4 2011/02/15 10:32:16 hoppe Exp $

Author:

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

Constructor Summary

AdjustedRandIndex()

Method Summary

double

measure(Matrix contingencyTable) Perform consecutive clustering evaluations in a more efficient manner.

Methods inherited from class de.aitools.dm.clustering.validation.ExternalValidationMeasure

measure

Methods inherited from class java.lang.Object

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

Constructor Detail

AdjustedRandIndex

public AdjustedRandIndex()

Method Detail

measure

public double measure(Matrix contingencyTable)

Description copied from class: ExternalValidationMeasure

Perform consecutive clustering evaluations in a more efficient manner.

Specified by:

measure in class ExternalValidationMeasure

Parameters:

contingencyTable - a precomputed contincengy table

Returns: