de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Class StandardCovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder<V,D>
          de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder<V,D>

Type Parameters:

V - Vector class to use.

D - Distance type

All Implemented Interfaces:

Parameterizable

public class StandardCovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
extends CovarianceMatrixBuilder<V,D>

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

Author:

Erich Schubert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

StandardCovarianceMatrixBuilder()

Method Summary

Matrix	processDatabase(Database<V> database) Compute Covariance Matrix for a complete database
Matrix	processIds(Collection<Integer> ids, Database<V> database) Compute Covariance Matrix for a collection of database IDs

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

processQueryResults, processQueryResults

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

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(Database<V> database)

Compute Covariance Matrix for a complete database

Overrides:

processDatabase in class CovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>

Parameters:

database - the database used

Returns:

Covariance Matrix

processIds

public Matrix processIds(Collection<Integer> ids,
                         Database<V> database)

Compute Covariance Matrix for a collection of database IDs

Specified by:

processIds in class CovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>

Parameters:

ids - a collection of ids

database - the database used

Returns:

Covariance Matrix