/* * Copyright 2004-2010 Information & Software Engineering Group (188/1) * Institute of Software Technology and Interactive Systems * Vienna University of Technology, Austria * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.ifs.tuwien.ac.at/dm/somtoolbox/license.html * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package at.tuwien.ifs.somtoolbox.visualization.clustering; import at.tuwien.ifs.somtoolbox.layers.metrics.L2Metric; import at.tuwien.ifs.somtoolbox.util.VectorTools; /** * @author Rudolf Mayer * @version $Id: AbstractWardsLinkageTreeBuilder.java 3583 2010-05-21 10:07:41Z mayer $ */ public abstract class AbstractWardsLinkageTreeBuilder extends TreeBuilder { public AbstractWardsLinkageTreeBuilder() { super(); } /** * Calculates the increase of the Error Sum of Squares if the two Clusters are united. To get the "real" Error Sum * of Squares increase one must take the square root of the returned value. This step is left out of here to save * computation time, as it changes nothing in the order of the distances if this calculation is left out for all * distances. * * @return the 'distance' value */ protected double calcESSincrease(ClusterNode n1, ClusterNode n2) { int length1 = n1.getNodes().length; int length2 = n2.getNodes().length; L2Metric l2 = new L2Metric(); double dist = l2.norm(VectorTools.subtract(n1.getMeanVector(), n2.getMeanVector())); double result = dist * dist / (length1 + length2) * length1 * length2; return result; } }