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package de.lmu.ifi.dbs.elki.distance.distancefunction;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2014
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.data.NumberVector;
import de.lmu.ifi.dbs.elki.database.query.distance.SpatialPrimitiveDistanceQuery;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
/**
* Abstract base class for typical distance functions that allow
* rectangle-to-rectangle lower bounds. These distances can then be used with
* R*-trees for acceleration.
*
* This class is largely a convenience class, to make implementing this type of
* distance functions easier.
*
* @author Erich Schubert
*/
public abstract class AbstractSpatialDistanceFunction extends AbstractNumberVectorDistanceFunction implements SpatialPrimitiveDistanceFunction<NumberVector> {
@Override
public <T extends NumberVector> SpatialPrimitiveDistanceQuery<T> instantiate(Relation<T> relation) {
return new SpatialPrimitiveDistanceQuery<>(relation, this);
}
}
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