de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Class KMeansExponion.Parameterizer<V extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<V>

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer<V>

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly.Parameterizer<V>

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansExponion.Parameterizer<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

KMeansExponion<V extends NumberVector>

public static class KMeansExponion.Parameterizer<V extends NumberVector>
extends KMeansHamerly.Parameterizer<V>

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer

initializer, k, maxiter, varstat

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected KMeansExponion<V>	makeInstance() Make an instance after successful configuration.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly.Parameterizer

makeOptions, needsMetric

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer

getParameterDistanceFunction, getParameterInitialization, getParameterK, getParameterMaxIter, getParameterVarstat

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

configure, make

Methods inherited from class java.lang.Object

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

Constructor Detail

Parameterizer

public Parameterizer()

Method Detail

makeInstance

protected KMeansExponion<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Overrides:

makeInstance in class KMeansHamerly.Parameterizer<V extends NumberVector>

Returns:

instance