Package weka.attributeSelection
Class UnsupervisedSubsetEvaluator
- java.lang.Object
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- weka.attributeSelection.ASEvaluation
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- weka.attributeSelection.UnsupervisedSubsetEvaluator
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- All Implemented Interfaces:
java.io.Serializable
,SubsetEvaluator
,CapabilitiesHandler
,RevisionHandler
public abstract class UnsupervisedSubsetEvaluator extends ASEvaluation implements SubsetEvaluator
Abstract unsupervised attribute subset evaluator.- Version:
- $Revision: 1.10 $
- Author:
- Mark Hall (mhall@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description UnsupervisedSubsetEvaluator()
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description abstract Clusterer
getClusterer()
Get the clustererabstract int
getNumClusters()
Return the number of clusters used by the subset evaluatorabstract void
setClusterer(Clusterer d)
Set the clusterer to use-
Methods inherited from class weka.attributeSelection.ASEvaluation
buildEvaluator, clean, forName, getCapabilities, getRevision, makeCopies, postProcess
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Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface weka.attributeSelection.SubsetEvaluator
evaluateSubset
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Method Detail
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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
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getClusterer
public abstract Clusterer getClusterer()
Get the clusterer- Returns:
- the clusterer
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setClusterer
public abstract void setClusterer(Clusterer d)
Set the clusterer to use- Parameters:
d
- the clusterer to use
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