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Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/algorithm/AbstractPrimitiveDistanceBasedAlgorithm.java')
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diff --git a/src/de/lmu/ifi/dbs/elki/algorithm/AbstractPrimitiveDistanceBasedAlgorithm.java b/src/de/lmu/ifi/dbs/elki/algorithm/AbstractPrimitiveDistanceBasedAlgorithm.java new file mode 100644 index 00000000..82539bd0 --- /dev/null +++ b/src/de/lmu/ifi/dbs/elki/algorithm/AbstractPrimitiveDistanceBasedAlgorithm.java @@ -0,0 +1,92 @@ +package de.lmu.ifi.dbs.elki.algorithm; +/* +This file is part of ELKI: +Environment for Developing KDD-Applications Supported by Index-Structures + +Copyright (C) 2011 +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.distance.distancefunction.EuclideanDistanceFunction; +import de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction; +import de.lmu.ifi.dbs.elki.distance.distancevalue.Distance; +import de.lmu.ifi.dbs.elki.result.Result; +import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer; +import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization; +import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter; + +/** + * Provides an abstract algorithm already setting the distance function. + * + * This class only allows distances that are defined on arbitrary objects, not only database objects! + * + * @author Arthur Zimek + * + * @apiviz.has PrimitiveDistanceFunction + * @apiviz.excludeSubtypes + * + * @param <O> the type of objects handled by this Algorithm + * @param <D> the type of Distance used by this Algorithm + * @param <R> the type of result to retrieve from this Algorithm + */ +public abstract class AbstractPrimitiveDistanceBasedAlgorithm<O, D extends Distance<D>, R extends Result> extends AbstractAlgorithm<R> { + /** + * Holds the instance of the distance function specified by + * {@link AbstractDistanceBasedAlgorithm#DISTANCE_FUNCTION_ID}. + */ + private PrimitiveDistanceFunction<? super O, D> distanceFunction; + + /** + * Constructor. + * + * @param distanceFunction Distance function + */ + protected AbstractPrimitiveDistanceBasedAlgorithm(PrimitiveDistanceFunction<? super O, D> distanceFunction) { + super(); + this.distanceFunction = distanceFunction; + } + + /** + * Returns the distanceFunction. + * + * @return the distanceFunction + */ + public PrimitiveDistanceFunction<? super O, D> getDistanceFunction() { + return distanceFunction; + } + + /** + * Parameterization helper class. + * + * @author Erich Schubert + * + * @apiviz.exclude + */ + public abstract static class Parameterizer<O, D extends Distance<D>> extends AbstractParameterizer { + protected PrimitiveDistanceFunction<O, D> distanceFunction; + + @Override + protected void makeOptions(Parameterization config) { + super.makeOptions(config); + ObjectParameter<PrimitiveDistanceFunction<O, D>> distanceFunctionP = makeParameterDistanceFunction(EuclideanDistanceFunction.class, PrimitiveDistanceFunction.class); + if(config.grab(distanceFunctionP)) { + distanceFunction = distanceFunctionP.instantiateClass(config); + } + } + } +}
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