/*
* 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.clustering.functions;
import at.tuwien.ifs.somtoolbox.clustering.Cluster;
import at.tuwien.ifs.somtoolbox.layers.Unit;
import at.tuwien.ifs.somtoolbox.layers.metrics.DistanceMetric;
import at.tuwien.ifs.somtoolbox.layers.metrics.L2Metric;
import at.tuwien.ifs.somtoolbox.layers.metrics.MetricException;
/**
* @author Rudolf Mayer
* @version $Id: UnitClusteringFunction.java 3927 2010-11-09 12:04:54Z mayer $
*/
public class UnitClusteringFunction implements ClusterElementFunctions<Unit> {
protected DistanceMetric metric;
public UnitClusteringFunction() {
this(new L2Metric());
}
public UnitClusteringFunction(DistanceMetric metric) {
this.metric = metric;
}
@Override
public double distance(Unit u1, Unit u2) {
return distance(u1.getWeightVector(), u2.getWeightVector());
}
public double distance(double[] vector1, double[] vector2) {
try {
return metric.distance(vector1, vector2);
} catch (MetricException e) {
return 0; // doesn't happen
}
}
@Override
public Unit meanObject(Cluster<? extends Unit> elements) {
if (elements.size() == 1) {
return elements.get(0);
}
double[] meanVector = new double[elements.get(0).getWeightVector().length];
double meanX = 0;
double meanY = 0;
for (int i = 0; i < meanVector.length; i++) {
double sum = 0;
for (int j = 0; j < elements.size(); j++) {
sum += elements.get(j).getWeightVector()[i];
}
meanVector[i] = sum / elements.size();
}
return new Unit(elements.get(0).getLayer(), (int) Math.round(meanX), (int) Math.round(meanY), meanVector);
}
@Override
public String toString(Cluster<? extends Unit> elements) {
Unit mean = meanObject(elements);
return getClass().getSimpleName() + " # vectors: " + elements.size() + ", mean unit: " + mean;
}
}