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

Class CLARANS.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.CLARANS.Parameterizer<V>

All Implemented Interfaces:

Parameterizer

Direct Known Subclasses:

FastCLARANS.Parameterizer

Enclosing class:

CLARANS<V>

public static class CLARANS.Parameterizer<V>
extends AbstractDistanceBasedAlgorithm.Parameterizer<V>

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) int	k Number of cluster centers to find.
(package private) double	maxneighbor Maximum neighbors to explore.
static OptionID	NEIGHBORS_ID The number of neighbors to explore.
(package private) int	numlocal Number of restarts to do.
(package private) RandomFactory	random Random factory for initialization.
static OptionID	RANDOM_ID Random generator.
static OptionID	RESTARTS_ID The number of restarts to run.

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 double	defaultRate() Default sampling rate.
protected CLARANS<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.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

RESTARTS_ID

public static final OptionID RESTARTS_ID

The number of restarts to run.

NEIGHBORS_ID

public static final OptionID NEIGHBORS_ID

The number of neighbors to explore.

RANDOM_ID

public static final OptionID RANDOM_ID

Random generator.

maxneighbor

double maxneighbor

Maximum neighbors to explore. If less than 1, it is considered to be a relative value.

numlocal

int numlocal

Number of restarts to do.

k

int k

Number of cluster centers to find.

random

RandomFactory random

Random factory for initialization.

Constructor Detail

Parameterizer

public Parameterizer()

Method Detail

defaultRate

protected double defaultRate()

Default sampling rate.

Returns:

Default sampling rate.

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 AbstractDistanceBasedAlgorithm.Parameterizer<V>

Parameters:

config - Parameterization to add options to.

makeInstance

protected CLARANS<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance