de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Class StandardCovarianceMatrixBuilder

java.lang.Object

de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder

de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder

All Implemented Interfaces:

CovarianceMatrixBuilder

public class StandardCovarianceMatrixBuilder
extends AbstractCovarianceMatrixBuilder

Class for building a "traditional" covariance matrix. Reasonable default choice for a CovarianceMatrixBuilder

Author:

Erich Schubert

Constructor Summary

Constructors

Constructor and Description
StandardCovarianceMatrixBuilder()

Method Summary

Methods

Modifier and Type	Method and Description
Matrix	processDatabase(Relation<? extends NumberVector> database) Compute Covariance Matrix for a complete database.
Matrix	processIds(DBIDs ids, Relation<? extends NumberVector> database) Compute Covariance Matrix for a collection of database IDs.

Methods inherited from class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder

processQueryResults, processQueryResults

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

StandardCovarianceMatrixBuilder

public StandardCovarianceMatrixBuilder()

Method Detail

processDatabase

public Matrix processDatabase(Relation<? extends NumberVector> database)

Compute Covariance Matrix for a complete database.

Specified by:

processDatabase in interface CovarianceMatrixBuilder

Overrides:

processDatabase in class AbstractCovarianceMatrixBuilder

Parameters:

database - the database used

Returns:

Covariance Matrix

processIds

public Matrix processIds(DBIDs ids,
                Relation<? extends NumberVector> database)

Compute Covariance Matrix for a collection of database IDs.

Specified by:

processIds in interface CovarianceMatrixBuilder

Specified by:

processIds in class AbstractCovarianceMatrixBuilder

Parameters:

ids - a collection of ids

database - the database used

Returns:

Covariance Matrix