package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert; /* 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.distance.distancefunction.SpatialPrimitiveDoubleDistanceFunction; import de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction; import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer; import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID; import de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GreaterConstraint; import de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessConstraint; import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization; import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter; import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter; /** * Abstract base class for reinsertion strategies that have a "relative amount" * parameter to partially reinsert entries. * * @author Erich Schubert */ public abstract class AbstractPartialReinsert implements ReinsertStrategy { /** * Amount of entries to reinsert */ protected double reinsertAmount = 0.3; /** * Distance function to use for measuring */ SpatialPrimitiveDoubleDistanceFunction distanceFunction; /** * Constructor. * * @param reinsertAmount Relative amount of objects to reinsert. * @param distanceFunction Distance function to use */ public AbstractPartialReinsert(double reinsertAmount, SpatialPrimitiveDoubleDistanceFunction distanceFunction) { super(); this.reinsertAmount = reinsertAmount; this.distanceFunction = distanceFunction; } /** * Parameterization class. * * @author Erich Schubert * * @apiviz.exclude */ public abstract static class Parameterizer extends AbstractParameterizer { /** * Reinsertion share */ public static OptionID REINSERT_AMOUNT_ID = new OptionID("rtree.reinsertion-amount", "The amount of entries to reinsert."); /** * Reinsertion share */ public static OptionID REINSERT_DISTANCE_ID = new OptionID("rtree.reinsertion-distancce", "The distance function to compute reinsertion candidates by."); /** * The actual reinsertion strategy */ double reinsertAmount = 0.3; /** * Distance function to use for measuring */ SpatialPrimitiveDoubleDistanceFunction distanceFunction; @Override protected void makeOptions(Parameterization config) { super.makeOptions(config); DoubleParameter reinsertAmountP = new DoubleParameter(REINSERT_AMOUNT_ID, 0.3); reinsertAmountP.addConstraint(new GreaterConstraint(0.0)); reinsertAmountP.addConstraint(new LessConstraint(0.5)); if (config.grab(reinsertAmountP)) { reinsertAmount = reinsertAmountP.getValue(); } ObjectParameter> distanceP = new ObjectParameter>(REINSERT_DISTANCE_ID, SpatialPrimitiveDoubleDistanceFunction.class, SquaredEuclideanDistanceFunction.class); if (config.grab(distanceP)) { distanceFunction = distanceP.instantiateClass(config); } } } }