weka.attributeSelection

Class UnsupervisedSubsetEvaluator

java.lang.Object

weka.attributeSelection.ASEvaluation

weka.attributeSelection.UnsupervisedSubsetEvaluator

All Implemented Interfaces:

java.io.Serializable, SubsetEvaluator, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, RevisionHandler

public abstract class UnsupervisedSubsetEvaluator
extends ASEvaluation
implements SubsetEvaluator

Abstract unsupervised attribute subset evaluator.

Version:

$Revision: 8034 $

Author:

Mark Hall (mhall@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
UnsupervisedSubsetEvaluator()

Method Summary

Modifier and Type	Method and Description
abstract Clusterer	getClusterer() Get the clusterer
abstract int	getNumClusters() Return the number of clusters used by the subset evaluator
abstract void	setClusterer(Clusterer d) Set the clusterer to use

Methods inherited from class weka.attributeSelection.ASEvaluation

buildEvaluator, clean, doNotCheckCapabilitiesTipText, forName, getCapabilities, getDoNotCheckCapabilities, getOptions, getRevision, listOptions, makeCopies, postExecution, postProcess, preExecution, run, runEvaluator, setDoNotCheckCapabilities, setOptions

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.attributeSelection.SubsetEvaluator

evaluateSubset

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

UnsupervisedSubsetEvaluator

public UnsupervisedSubsetEvaluator()

Method Detail

getNumClusters

public abstract int getNumClusters()
                            throws java.lang.Exception

Return the number of clusters used by the subset evaluator

Returns:

the number of clusters used

Throws:

java.lang.Exception - if an error occurs

getClusterer

public abstract Clusterer getClusterer()

Get the clusterer

Returns:

the clusterer

setClusterer

public abstract void setClusterer(Clusterer d)

Set the clusterer to use

Parameters:

d - the clusterer to use