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) 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 . */ import de.lmu.ifi.dbs.elki.data.NumberVector; import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation; import de.lmu.ifi.dbs.elki.data.type.TypeUtil; import de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance; /** * Abstract base class for the most common family of distance functions: defined * on number vectors and returning double values. * * @author Erich Schubert * * @apiviz.landmark * @apiviz.uses NumberVector * @apiviz.has DoubleDistance */ public abstract class AbstractVectorDoubleDistanceFunction extends AbstractPrimitiveDistanceFunction, DoubleDistance> implements PrimitiveDoubleDistanceFunction>, NumberVectorDistanceFunction { /** * Constructor. */ public AbstractVectorDoubleDistanceFunction() { super(); } @Override public SimpleTypeInformation> getInputTypeRestriction() { return TypeUtil.NUMBER_VECTOR_FIELD; } @Override public final DoubleDistance distance(NumberVector o1, NumberVector o2) { return new DoubleDistance(doubleDistance(o1, o2)); } @Override public DoubleDistance getDistanceFactory() { return DoubleDistance.FACTORY; } }