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

java.lang.Object
  extended by de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      extended by de.lmu.ifi.dbs.elki.math.linearalgebra.pca.NormalizingEigenPairFilter
All Implemented Interfaces:
EigenPairFilter, Parameterizable

@Title(value="Perecentage based Eigenpair filter")
@Description(value="Normalizes all eigenpairs, consisting of eigenvalue e and eigenvector v such that  * e = 1, where <,> is the standard dot product.")
public class NormalizingEigenPairFilter
extends AbstractLoggable
implements EigenPairFilter, Parameterizable

The NormalizingEigenPairFilter normalizes all eigenvectors s.t. * eigenvalue = 1, where <,> is the standard dot product

Author:
Simon Paradies

Field Summary
 
Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debug, logger
 
Constructor Summary
NormalizingEigenPairFilter()
          Provides a new EigenPairFilter that normalizes all eigenvectors s.t.
 
Method Summary
 FilteredEigenPairs filter(SortedEigenPairs eigenPairs)
          Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
private  void normalizeEigenPair(EigenPair eigenPair)
          Normalizes an eigenpair consisting of eigenvector v and eigenvalue e s.t.
 
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

NormalizingEigenPairFilter

public NormalizingEigenPairFilter()
Provides a new EigenPairFilter that normalizes all eigenvectors s.t. eigenvalue * = 1, where <,> is the standard dot product

Method Detail

filter

public FilteredEigenPairs filter(SortedEigenPairs eigenPairs)
Description copied from interface: EigenPairFilter
Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.

Specified by:
filter in interface EigenPairFilter
Parameters:
eigenPairs - the eigenPairs (i.e. the eigenvectors and
Returns:
the filtered eigenpairs

normalizeEigenPair

private void normalizeEigenPair(EigenPair eigenPair)
Normalizes an eigenpair consisting of eigenvector v and eigenvalue e s.t. * e = 1

Parameters:
eigenPair - the eigenpair to be normalized

Release 0.3 (2010-03-31_1612)