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package de.lmu.ifi.dbs.elki.math.linearalgebra.pca;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2011
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.NumberVector;
import de.lmu.ifi.dbs.elki.database.ids.DBIDs;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix;
import de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix;
/**
* Class for building a "traditional" covariance matrix.
* Reasonable default choice for a {@link CovarianceMatrixBuilder}
*
* @author Erich Schubert
*
* @apiviz.uses CovarianceMatrix
*
* @param <V> Vector class to use.
*/
public class StandardCovarianceMatrixBuilder<V extends NumberVector<? extends V, ?>> extends AbstractCovarianceMatrixBuilder<V> {
/**
* Compute Covariance Matrix for a complete database
*
* @param database the database used
* @return Covariance Matrix
*/
@Override
public Matrix processDatabase(Relation<? extends V> database) {
return CovarianceMatrix.make(database).destroyToNaiveMatrix();
}
/**
* Compute Covariance Matrix for a collection of database IDs
*
* @param ids a collection of ids
* @param database the database used
* @return Covariance Matrix
*/
@Override
public Matrix processIds(DBIDs ids, Relation<? extends V> database) {
return CovarianceMatrix.make(database, ids).destroyToNaiveMatrix();
}
}
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