/*
* 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.learner.functions.kernel.functions;
import java.util.Iterator;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.Example;
import com.rapidminer.example.ExampleSet;
/** Stores all distances in a matrix (attention: should only be used for smaller data sets).
*
* @author Ingo Mierswa
* @version $Id: FullCache.java,v 1.4 2008/09/12 10:29:40 tobiasmalbrecht Exp $
*/
public class FullCache implements KernelCache {
private double[][] distances;
public FullCache(ExampleSet exampleSet, Kernel kernel) {
int size = exampleSet.size();
this.distances = new double[size][size];
Iterator<Example> reader = exampleSet.iterator();
int i = 0;
while (reader.hasNext()) {
Example example1 = reader.next();
double[] x1 = new double[exampleSet.getAttributes().size()];
int x = 0;
for (Attribute attribute : exampleSet.getAttributes())
x1[x++] = example1.getValue(attribute);
Iterator<Example> innerReader = exampleSet.iterator();
int j = 0;
while (innerReader.hasNext()) {
Example example2 = innerReader.next();
double[] x2 = new double[exampleSet.getAttributes().size()];
x = 0;
for (Attribute attribute : exampleSet.getAttributes())
x2[x++] = example2.getValue(attribute);
double distance = kernel.calculateDistance(x1, x2);
this.distances[i][j] = distance;
this.distances[j][i] = distance;
j++;
}
i++;
}
}
public double get(int i, int j) {
return this.distances[i][j];
}
public void store(int i, int j, double value) {
this.distances[i][j] = value;
}
}