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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
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* UnsupervisedSubsetEvaluator.java
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* Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
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package weka.attributeSelection;
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import weka.clusterers.Clusterer;
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* Abstract unsupervised attribute subset evaluator.
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* @author Mark Hall (mhall@cs.waikato.ac.nz)
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* @version $Revision: 1.9 $
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public abstract class UnsupervisedSubsetEvaluator
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extends SubsetEvaluator{
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/** for serialization */
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static final long serialVersionUID = 627934376267488763L;
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* Return the number of clusters used by the subset evaluator
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* @return the number of clusters used
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* @exception Exception if an error occurs
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public abstract int getNumClusters() throws Exception;
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* @return the clusterer
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public abstract Clusterer getClusterer();
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* Set the clusterer to use
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* @param d the clusterer to use
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public abstract void setClusterer(Clusterer d);