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package de.lmu.ifi.dbs.elki.distance.similarityfunction;
/*
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/>.
*/
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.distance.distancevalue.Distance;
/**
* Abstract super class for distance functions needing a preprocessor.
*
* @author Elke Achtert
*
* @param <D> distance type
*/
public abstract class AbstractDBIDSimilarityFunction<D extends Distance<D>> extends AbstractPrimitiveSimilarityFunction<DBID, D> implements DBIDSimilarityFunction<D> {
/**
* The database we work on
*/
protected Relation<? extends DBID> database;
/**
* Constructor.
*
* @param database Database
*/
public AbstractDBIDSimilarityFunction(Relation<? extends DBID> database) {
super();
this.database = database;
}
@Override
public boolean isSymmetric() {
return true;
}
}
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