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);
}
}
}
}