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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);
+ }
+}