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package de.lmu.ifi.dbs.elki.algorithm.clustering.em;
/*
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.kmeans.initialization.KMeansInitialization;
import de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.RandomlyGeneratedInitialMeans;
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.data.model.MeanModel;
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.parameterization.Parameterization;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
/**
* Abstract base class for initializing EM.
*
* @author Erich Schubert
*
* @param <V> Vector type
* @param <M> Model type
*/
public abstract class AbstractEMModelFactory<V extends NumberVector, M extends MeanModel> implements EMClusterModelFactory<V, M> {
/**
* Class to choose the initial means
*/
protected KMeansInitialization<V> initializer;
/**
* Constructor.
*
* @param initializer Class for choosing the initial seeds.
*/
public AbstractEMModelFactory(KMeansInitialization<V> initializer) {
super();
this.initializer = initializer;
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*
* @param <V> vector type
*/
public abstract static class Parameterizer<V extends NumberVector> extends AbstractParameterizer {
/**
* Parameter to specify the cluster center initialization.
*/
public static final OptionID INIT_ID = new OptionID("em.centers", //
"Method to choose the initial cluster centers.");
/**
* Initialization method
*/
protected KMeansInitialization<V> initializer;
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
ObjectParameter<KMeansInitialization<V>> initialP = new ObjectParameter<>(INIT_ID, KMeansInitialization.class, RandomlyGeneratedInitialMeans.class);
if(config.grab(initialP)) {
initializer = initialP.instantiateClass(config);
}
}
}
}
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