/* * 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.similarity.clustermodel; import java.util.HashMap; import java.util.Iterator; import java.util.Map; import com.rapidminer.operator.OperatorException; import com.rapidminer.operator.learner.clustering.ClusterModel; import com.rapidminer.operator.learner.clustering.ClusterNode; /** * Cluster model similarity based on tree depth. * * @author Michael Wurst * @version $Id: TreeDistance.java,v 1.5 2008/09/12 10:32:26 tobiasmalbrecht Exp $ */ public class TreeDistance extends MostSpecificCommonNodeSimilarity { private static final long serialVersionUID = 4442795652362134420L; private final Map<ClusterNode, Integer> depthMap = new HashMap<ClusterNode, Integer>(); public void init(ClusterModel cm) throws OperatorException { super.init(cm); calculateDepth(getClusterModel().getRootNode(), 0); } public boolean isDistance() { return true; } public double similarity(String x, String y) { return -2.0 * getWeightOfNode(getMostSpecificCommonNode(x, y)) + (getWeightOfNode(getNode(x)) + getWeightOfNode(getNode(y))); } protected double getWeightOfNode(ClusterNode cn) { return depthMap.get(cn); } private void calculateDepth(ClusterNode cn, int depth) { depthMap.put(cn, depth); Iterator it = cn.getSubNodes(); while (it.hasNext()) calculateDepth((ClusterNode) it.next(), depth + 1); } }