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package de.lmu.ifi.dbs.elki.distance.distancefunction.adapter;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2011
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/>.
*/
import de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery;
import de.lmu.ifi.dbs.elki.database.query.similarity.SimilarityQuery;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction;
import de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance;
import de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance;
import de.lmu.ifi.dbs.elki.distance.similarityfunction.NormalizedSimilarityFunction;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
/**
* Adapter from a normalized similarity function to a distance function using
* <code>1 - sim</code>.
*
* @author Erich Schubert
*
* @apiviz.has Instance
*
* @param <O> Object class to process.
*/
public class SimilarityAdapterLinear<O> extends AbstractSimilarityAdapter<O> {
/**
* Constructor.
*
* @param similarityFunction Similarity function
*/
public SimilarityAdapterLinear(NormalizedSimilarityFunction<? super O, ? extends NumberDistance<?, ?>> similarityFunction) {
super(similarityFunction);
}
@Override
public <T extends O> DistanceQuery<T, DoubleDistance> instantiate(Relation<T> database) {
SimilarityQuery<T, ? extends NumberDistance<?, ?>> similarityQuery = similarityFunction.instantiate(database);
return new Instance<T>(database, this, similarityQuery);
}
/**
* Distance function instance
*
* @author Erich Schubert
*
* @param <O> Object type
*/
public static class Instance<O> extends AbstractSimilarityAdapter.Instance<O> {
/**
* Constructor.
*
* @param database Database
* @param parent Parent distance
* @param similarityQuery similarity Query to use
*/
public Instance(Relation<O> database, DistanceFunction<? super O, DoubleDistance> parent, SimilarityQuery<? super O, ? extends NumberDistance<?, ?>> similarityQuery) {
super(database, parent, similarityQuery);
}
@Override
public double transform(double similarity) {
return 1.0 - similarity;
}
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer<O> extends AbstractSimilarityAdapter.Parameterizer<O> {
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
}
@Override
protected SimilarityAdapterLinear<O> makeInstance() {
return new SimilarityAdapterLinear<O>(similarityFunction);
}
}
}
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