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

Class FastCLARA.Parameterizer<V>

java.lang.Object

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

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

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

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsFastPAM1.Parameterizer<V>

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

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

All Implemented Interfaces:

Parameterizer

Enclosing class:

FastCLARA<V>

public static class FastCLARA.Parameterizer<V>
extends KMedoidsFastPAM.Parameterizer<V>

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) boolean	keepmed Keep the previous medoids in the sample.
static OptionID	NOKEEPMED_ID Draw independent samples.
(package private) int	numsamples Number of samples to draw (i.e. iterations).
static OptionID	NUMSAMPLES_ID The number of samples to run.
(package private) RandomFactory	random Random factory for initialization.
static OptionID	RANDOM_ID Random generator.
static OptionID	SAMPLESIZE_ID The sample size.
(package private) double	sampling Sampling rate.

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

fasttol, FASTTOL_ID

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

initializer, k, maxiter

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

distanceFunction

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

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

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

defaultInitializer

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

NUMSAMPLES_ID

public static final OptionID NUMSAMPLES_ID

The number of samples to run.

SAMPLESIZE_ID

public static final OptionID SAMPLESIZE_ID

The sample size.

NOKEEPMED_ID

public static final OptionID NOKEEPMED_ID

Draw independent samples.

RANDOM_ID

public static final OptionID RANDOM_ID

Random generator.

sampling

double sampling

Sampling rate. If less than 1, it is considered to be a relative value.

numsamples

int numsamples

Number of samples to draw (i.e. iterations).

keepmed

boolean keepmed

Keep the previous medoids in the sample.

random

RandomFactory random

Random factory for initialization.

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 KMedoidsFastPAM.Parameterizer<V>

Parameters:

config - Parameterization to add options to.

makeInstance

protected FastCLARA<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Overrides:

makeInstance in class KMedoidsFastPAM.Parameterizer<V>

Returns:

instance