de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Class ClustersWithNoiseExtraction.Parameterizer

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Parameterizer

All Implemented Interfaces:

Parameterizer

Enclosing class:

ClustersWithNoiseExtraction

public static class ClustersWithNoiseExtraction.Parameterizer
extends AbstractParameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) HierarchicalClusteringAlgorithm	algorithm The hierarchical clustering algorithm to run.
static OptionID	K_ID The number of clusters to extract.
(package private) int	minClSize Minimum cluster size.
static OptionID	MINCLUSTERSIZE_ID The minimum size of clusters to extract.
(package private) int	numCl Minimum number of clusters.

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected ClustersWithNoiseExtraction	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

K_ID

public static final OptionID K_ID

The number of clusters to extract.

MINCLUSTERSIZE_ID

public static final OptionID MINCLUSTERSIZE_ID

The minimum size of clusters to extract.

numCl

int numCl

Minimum number of clusters.

minClSize

int minClSize

Minimum cluster size.

algorithm

HierarchicalClusteringAlgorithm algorithm

The hierarchical clustering algorithm to run.

Constructor Detail

Parameterizer

public 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 ClustersWithNoiseExtraction makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance