wekacluster.java

著名的开源仿真软件yale

/*
 *  YALE - Yet Another Learning Environment
 *  Copyright (C) 2002, 2003
 *      Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, 
 *          Katharina Morik, Oliver Ritthoff
 *      Artificial Intelligence Unit
 *      Computer Science Department
 *      University of Dortmund
 *      44221 Dortmund,  Germany
 *  email: [e-mail]
 *  web:   http://yale.cs.uni-dortmund.de/
 *
 *  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 2 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, write to the Free Software
 *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
 *  USA.
 */
package edu.udo.cs.yale.operator.clusterer;

import edu.udo.cs.yale.MethodNotSupportedException;
import edu.udo.cs.yale.example.Example;
import edu.udo.cs.yale.operator.learner.WekaModel;
import edu.udo.cs.yale.operator.OperatorException;
import edu.udo.cs.yale.operator.FatalException;
import edu.udo.cs.yale.tools.LogService;

import weka.core.Instance;
import weka.clusterers.Clusterer;

/** A Weka cluster which can be used to cluster examples. It is learned by a WekaClusterer.
 *  @author ingo 
 *  @version $Id: WekaCluster.java,v 2.1 2003/04/04 11:59:28 fischer Exp $
 */
public class WekaCluster extends WekaModel {

    /** The used Weka clusterer. */
    private Clusterer clusterer;

    
    public WekaCluster(Clusterer clusterer) {
	this.clusterer = clusterer;
    }

    /** Clusters ervery weka instance and sets the result as cluster index of the current example.
     */
    public void applyModelForInstance(Instance instance, Example e) throws OperatorException {
	int cluster = -1;
	try {
	    cluster = clusterer.clusterInstance(instance); 
	} catch (Exception exc) {
	    throw new FatalException("Exception occured while clustering example:"+exc.getMessage());
	}
	try {
	    e.setCluster(cluster);
	} catch (MethodNotSupportedException mns) {
	    throw new FatalException("Exception occured while clustering example: " +
				     "Example does not contain a cluster attribute!"+
				     mns.getMessage());
	}
    }

    public String toString() {
	return clusterer.toString();
    }

}