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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) 2013
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.distance.distancevalue.Distance;
/**
* Interface DBIDSimilarityFunction describes the requirements of any similarity
* function defined over object IDs.
*
* @author Elke Achtert
*
* @apiviz.landmark
* @apiviz.uses DBID oneway - - defined on
*
* @param <D> distance type
*/
public interface DBIDSimilarityFunction<D extends Distance<D>> extends SimilarityFunction<DBID, D> {
/**
* Computes the similarity between two given DatabaseObjects according to this
* similarity function.
*
* @param id1 first object id
* @param id2 second object id
* @return the similarity between two given DatabaseObjects according to this
* similarity function
*/
D similarity(DBID id1, DBID id2);
}
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