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package tutorial.distancefunction;
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation;
import de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2012
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
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/>.
*/
/**
* Tutorial example for ELKI.
*
* See <a href="http://elki.dbs.ifi.lmu.de/wiki/Tutorial/DistanceFunctions">Distance function tutorial</a>
*
* @author Erich Schubert
*/
public class TutorialDistanceFunction extends AbstractVectorDoubleDistanceFunction {
@Override
public double doubleDistance(NumberVector<?, ?> o1, NumberVector<?, ?> o2) {
double dx = (o1.doubleValue(1) - o2.doubleValue(1));
double dy = (o1.doubleValue(2) - o2.doubleValue(2));
return dx * dx + Math.abs(dy);
}
@Override
public SimpleTypeInformation<? super NumberVector<?, ?>> getInputTypeRestriction() {
return new VectorFieldTypeInformation<NumberVector<?, ?>>(NumberVector.class, 2);
}
}
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