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package de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2015
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.algorithm.clustering.correlation.FourC;
import de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.database.Database;
import de.lmu.ifi.dbs.elki.database.ids.DBIDRef;
import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
/**
* The PreDeCon core point predicate -- having at least minpts. neighbors, and a
* maximum preference dimensionality of lambda.
*
* <p>
* Reference:
* <p>
* C. Böhm, K. Kailing, P. Kröger, A. Zimek:<br />
* Computing Clusters of Correlation Connected Objects. <br>
* In Proc. ACM SIGMOD Int. Conf. on Management of Data, Paris, France, 2004.
* </p>
*
* @author Erich Schubert
* @since 0.5.0
*
* @apiviz.has Instance
*/
@Reference(authors = "C. Böhm, K. Kailing, P. Kröger, A. Zimek", //
title = "Computing Clusters of Correlation Connected Objects", //
booktitle = "Proc. ACM SIGMOD Int. Conf. on Management of Data, Paris, France, 2004, 455-466", //
url = "http://dx.doi.org/10.1145/1007568.1007620")
public class FourCCorePredicate implements CorePredicate {
/**
* The PreDeCon settings class.
*/
protected FourC.Settings settings;
/**
* Default constructor.
*
* @param settings PreDeCon settings
*/
public FourCCorePredicate(FourC.Settings settings) {
super();
this.settings = settings;
}
@SuppressWarnings("unchecked")
@Override
public <T> CorePredicate.Instance<T> instantiate(Database database, SimpleTypeInformation<?> type) {
return (CorePredicate.Instance<T>) new Instance(settings);
}
@Override
public boolean acceptsType(SimpleTypeInformation<?> type) {
return (type.getRestrictionClass().isAssignableFrom(PreDeConModel.class));
}
/**
* Instance for a particular data set.
*
* @author Erich Schubert
*/
public static class Instance implements CorePredicate.Instance<PreDeConModel> {
/**
* The PreDeCon settings class.
*/
protected FourC.Settings settings;
/**
* Constructor for this predicate.
*
* @param settings PreDeCon settings
*/
public Instance(FourC.Settings settings) {
super();
this.settings = settings;
}
@Override
public boolean isCorePoint(DBIDRef point, PreDeConModel model) {
return (model.pdim <= settings.lambda) && (model.ids.size() >= settings.minpts);
}
}
/**
* Parameterization class
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer extends AbstractParameterizer {
/**
* The PreDeCon settings class.
*/
protected FourC.Settings settings;
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
settings = config.tryInstantiate(FourC.Settings.class);
}
@Override
protected FourCCorePredicate makeInstance() {
return new FourCCorePredicate(settings);
}
}
}
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