/*
* 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;
}
}