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

Class ExtractFlatClusteringFromHierarchy.Parameterizer

java.lang.Object

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

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

All Implemented Interfaces:

Parameterizer

Enclosing class:

ExtractFlatClusteringFromHierarchy

public static class ExtractFlatClusteringFromHierarchy.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.
(package private) boolean	hierarchical Flag to generate a hierarchical result.
static OptionID	HIERARCHICAL_ID Parameter to configure the output mode (nested or truncated clusters).
(package private) int	minclusters Number of clusters to extract.
static OptionID	MINCLUSTERS_ID The minimum number of clusters to extract.
static OptionID	MODE_ID Extraction mode to use.
static OptionID	NO_SINGLETONS_ID Flag to produce singleton clusters.
(package private) boolean	nosingletons Also create singleton clusters.
(package private) double	threshold Threshold level.
static OptionID	THRESHOLD_ID The threshold level for which to extract the clustering.
(package private) ExtractFlatClusteringFromHierarchy.ThresholdMode	thresholdmode Threshold mode.

Constructor Summary

Constructors

Constructor and Description
ExtractFlatClusteringFromHierarchy.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected ExtractFlatClusteringFromHierarchy	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

MODE_ID

public static final OptionID MODE_ID

Extraction mode to use.

MINCLUSTERS_ID

public static final OptionID MINCLUSTERS_ID

The minimum number of clusters to extract.

THRESHOLD_ID

public static final OptionID THRESHOLD_ID

The threshold level for which to extract the clustering.

HIERARCHICAL_ID

public static final OptionID HIERARCHICAL_ID

Parameter to configure the output mode (nested or truncated clusters).

NO_SINGLETONS_ID

public static final OptionID NO_SINGLETONS_ID

Flag to produce singleton clusters.

thresholdmode

ExtractFlatClusteringFromHierarchy.ThresholdMode thresholdmode

Threshold mode.

minclusters

int minclusters

Number of clusters to extract.

threshold

double threshold

Threshold level.

hierarchical

boolean hierarchical

Flag to generate a hierarchical result.

nosingletons

boolean nosingletons

Also create singleton clusters.

algorithm

HierarchicalClusteringAlgorithm algorithm

The hierarchical clustering algorithm to run.

Constructor Detail

ExtractFlatClusteringFromHierarchy.Parameterizer

public ExtractFlatClusteringFromHierarchy.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 ExtractFlatClusteringFromHierarchy makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance