de.aitools.dm.clusterlabeling.validation.external.measure
Class MeanReciprocalRank

java.lang.Object
  de.aitools.dm.clusterlabeling.validation.external.PreferencedMeasure
      de.aitools.dm.clusterlabeling.validation.external.measure.MeanReciprocalRank

All Implemented Interfaces:

ExternalMeasure

public class MeanReciprocalRank
extends PreferencedMeasure

The reciprocal of the rank of the first cluster-label that matches the reference-label.

Version:

$Id: MeanReciprocalRank.java,v 1.1 2011/02/18 16:08:22 hoppe Exp $

Author:

johannes.kiesel(/\t)uni-weimar.de

Constructor Summary

MeanReciprocalRank(MeasurePreferences preferences)

Method Summary

double	eval() This will evaluate depending on the concrete implementation.
double	evalAt(int n) This will evaluate depending on the concrete implementation.

Methods inherited from class de.aitools.dm.clusterlabeling.validation.external.PreferencedMeasure

evalClusterLabels, evalReferenceLabel, getClusterLabels, getReferenceLabel, setClusterLabels, setReferenceLabel

Methods inherited from class java.lang.Object

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

Constructor Detail

MeanReciprocalRank

public MeanReciprocalRank(MeasurePreferences preferences)

Method Detail

eval

public double eval()

Description copied from interface: ExternalMeasure

This will evaluate depending on the concrete implementation.
Attention: The return-value may vary significantly in its meaning depending on the implementation. Higher values should suggest closer pairs.

evalAt

public double evalAt(int n)

Description copied from interface: ExternalMeasure

This will evaluate depending on the concrete implementation.
Attention: The return-value may vary significantly in its meaning depending on the implementation. Higher values should suggest closer pairs.