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package de.lmu.ifi.dbs.elki.data.model;
/*
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 <http://www.gnu.org/licenses/>.
*/
import de.lmu.ifi.dbs.elki.data.FeatureVector;
import de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult;
import de.lmu.ifi.dbs.elki.result.textwriter.TextWriteable;
import de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream;
import de.lmu.ifi.dbs.elki.utilities.FormatUtil;
/**
* Cluster model using a filtered PCA result and an centroid.
*
* @author Erich Schubert
*
* @apiviz.composedOf PCAFilteredResult
*
* @param <V> Vector type
*/
public class CorrelationModel<V extends FeatureVector<?>> extends BaseModel implements TextWriteable {
/**
* The computed PCA result of this cluster.
*/
private PCAFilteredResult pcaresult;
/**
* The centroid of this cluster.
*/
private V centroid;
/**
* Constructor
*
* @param pcaresult PCA result
* @param centroid Centroid
*/
public CorrelationModel(PCAFilteredResult pcaresult, V centroid) {
super();
this.pcaresult = pcaresult;
this.centroid = centroid;
}
/**
* Get assigned PCA result
*
* @return PCA result
*/
public PCAFilteredResult getPCAResult() {
return pcaresult;
}
/**
* Assign new PCA result
*
* @param pcaresult PCA result
*/
public void setPCAResult(PCAFilteredResult pcaresult) {
this.pcaresult = pcaresult;
}
/**
* Get assigned for Centroid
*
* @return centroid
*/
public V getCentroid() {
return centroid;
}
/**
* Assign new Centroid
*
* @param centroid Centroid
*/
public void setCentroid(V centroid) {
this.centroid = centroid;
}
/**
* Implementation of {@link TextWriteable} interface
*
* @param label unused parameter
*/
@Override
public void writeToText(TextWriterStream out, String label) {
out.commentPrintLn(TextWriterStream.SER_MARKER + " " + CorrelationModel.class.getName());
out.commentPrintLn("Centroid: " + out.normalizationRestore(getCentroid()).toString());
out.commentPrintLn("Strong Eigenvectors:");
String strong = getPCAResult().getStrongEigenvectors().toString();
while(strong.endsWith("\n")) {
strong = strong.substring(0, strong.length() - 1);
}
out.commentPrintLn(strong);
out.commentPrintLn("Weak Eigenvectors:");
String weak = getPCAResult().getWeakEigenvectors().toString();
while(weak.endsWith("\n")) {
weak = weak.substring(0, weak.length() - 1);
}
out.commentPrintLn(weak);
out.commentPrintLn("Eigenvalues: " + FormatUtil.format(getPCAResult().getEigenvalues(), " ", 2));
}
}
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