de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster

Class ClusteringRandIndexSimilarityFunction.Parameterizer

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction.Parameterizer

All Implemented Interfaces:

Parameterizer

Enclosing class:

ClusteringRandIndexSimilarityFunction

public static class ClusteringRandIndexSimilarityFunction.Parameterizer
extends AbstractParameterizer

Parameterization class.

Author:

Erich Schubert

Constructor Summary

Constructors

Constructor and Description
ClusteringRandIndexSimilarityFunction.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected ClusteringRandIndexSimilarityFunction	makeInstance() Make an instance after successful configuration.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make, makeOptions

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusteringRandIndexSimilarityFunction.Parameterizer

public ClusteringRandIndexSimilarityFunction.Parameterizer()

Method Detail

makeInstance

protected ClusteringRandIndexSimilarityFunction makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance