/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.validation.clustering;
import com.rapidminer.operator.IOObject;
import com.rapidminer.operator.Operator;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.learner.clustering.ClusterModel;
import com.rapidminer.operator.learner.clustering.HierarchicalClusterModel;
import com.rapidminer.operator.performance.EstimatedPerformance;
import com.rapidminer.operator.performance.PerformanceCriterion;
import com.rapidminer.operator.performance.PerformanceVector;
;
/**
* Compares two hierarchical clustering models according to the label of their root node. If this label is equal, 1 is returned, 0 otherwise.
*
* @author Michael Wurst, Ingo Mierswa
* @version $Id: ClusterModelLabelSimilarity.java,v 1.6 2008/09/12 10:31:55 tobiasmalbrecht Exp $
*
*/
public class ClusterModelLabelSimilarity extends Operator {
public ClusterModelLabelSimilarity(OperatorDescription description) {
super(description);
}
public IOObject[] apply() throws OperatorException {
HierarchicalClusterModel hcm1 = getInput(HierarchicalClusterModel.class);
HierarchicalClusterModel hcm2 = getInput(HierarchicalClusterModel.class);
if ((hcm1.getRootNode() == null) || (hcm2.getRootNode() == null)) {
PerformanceVector pv = new PerformanceVector();
PerformanceCriterion pc = new EstimatedPerformance("accuracy", Double.NaN, 1, false);
pv.addCriterion(pc);
logWarning("Could not compare cm, one of them is null");
return new IOObject[] { pv };
}
PerformanceVector pv = new PerformanceVector();
double performance = 0.0;
if (hcm1.getRootNode().getDescription().equals(hcm2.getRootNode().getDescription()))
performance = 1.0;
PerformanceCriterion pc = new EstimatedPerformance("accuracy", performance, 1, false);
pv.addCriterion(pc);
return new IOObject[] { pv };
}
public Class<?>[] getInputClasses() {
return new Class[] { ClusterModel.class };
}
public Class<?>[] getOutputClasses() {
return new Class[] { PerformanceVector.class };
}
}