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

Class KMeansOutlierDetection.Parameterizer<O extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.KMeansOutlierDetection.Parameterizer<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Parameterizer

Enclosing class:

KMeansOutlierDetection<O extends NumberVector>

public static class KMeansOutlierDetection.Parameterizer<O extends NumberVector>
extends AbstractParameterizer

Parameterizer.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) KMeans<O,?>	clusterer Clustering algorithm to use
static OptionID	CLUSTERING_ID Parameter for choosing the clustering algorithm.

Constructor Summary

Constructors

Constructor and Description
KMeansOutlierDetection.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected KMeansOutlierDetection<O>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

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

Field Detail

CLUSTERING_ID

public static final OptionID CLUSTERING_ID

Parameter for choosing the clustering algorithm.

clusterer

KMeans<O extends NumberVector,?> clusterer

Clustering algorithm to use

Constructor Detail

KMeansOutlierDetection.Parameterizer

public KMeansOutlierDetection.Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected KMeansOutlierDetection<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance