weka.clusterers

Class RandomizableDensityBasedClusterer

java.lang.Object

weka.clusterers.AbstractClusterer

weka.clusterers.AbstractDensityBasedClusterer

weka.clusterers.RandomizableDensityBasedClusterer

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Clusterer, DensityBasedClusterer, CapabilitiesHandler, OptionHandler, Randomizable, RevisionHandler

Direct Known Subclasses:

EM

public abstract class RandomizableDensityBasedClusterer
extends AbstractDensityBasedClusterer
implements OptionHandler, Randomizable

Abstract utility class for handling settings common to randomizable clusterers.

Version:

$Revision: 1.3 $

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RandomizableDensityBasedClusterer()

Method Summary

Modifier and Type	Method and Description
java.lang.String[]	getOptions() Gets the current settings of the classifier.
int	getSeed() Gets the seed for the random number generations
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
java.lang.String	seedTipText() Returns the tip text for this property
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setSeed(int value) Set the seed for random number generation.

Methods inherited from class weka.clusterers.AbstractDensityBasedClusterer

clusterPriors, distributionForInstance, logDensityForInstance, logDensityPerClusterForInstance, logJointDensitiesForInstance, makeCopies

Methods inherited from class weka.clusterers.AbstractClusterer

buildClusterer, clusterInstance, forName, getCapabilities, getRevision, makeCopies, makeCopy, numberOfClusters

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface weka.clusterers.Clusterer

buildClusterer, clusterInstance, getCapabilities, numberOfClusters

Constructor Detail

RandomizableDensityBasedClusterer

public RandomizableDensityBasedClusterer()

Method Detail

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

Specified by:

setOptions in interface OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the classifier.

Specified by:

getOptions in interface OptionHandler

Returns:

an array of strings suitable for passing to setOptions

seedTipText

public java.lang.String seedTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setSeed

public void setSeed(int value)

Set the seed for random number generation.

Specified by:

setSeed in interface Randomizable

Parameters:

value - the seed to use

getSeed

public int getSeed()

Gets the seed for the random number generations

Specified by:

getSeed in interface Randomizable

Returns:

the seed for the random number generation