/*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
/*
* UnsupervisedSubsetEvaluator.java
* Copyright (C) 1999-2012 University of Waikato, Hamilton, New Zealand
*
*/
package weka.attributeSelection;
import weka.clusterers.Clusterer;
/**
* Abstract unsupervised attribute subset evaluator.
*
* @author Mark Hall (mhall@cs.waikato.ac.nz)
* @version $Revision: 8034 $
*/
public abstract class UnsupervisedSubsetEvaluator
extends ASEvaluation
implements SubsetEvaluator {
/** for serialization */
static final long serialVersionUID = 627934376267488763L;
/**
* Return the number of clusters used by the subset evaluator
*
* @return the number of clusters used
* @exception Exception if an error occurs
*/
public abstract int getNumClusters() throws Exception;
/**
* Get the clusterer
*
* @return the clusterer
*/
public abstract Clusterer getClusterer();
/**
* Set the clusterer to use
*
* @param d the clusterer to use
*/
public abstract void setClusterer(Clusterer d);
}