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

Class FirstNEigenPairFilter

java.lang.Object

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

All Implemented Interfaces:

EigenPairFilter

@Title(value="First n Eigenpair filter")
@Description(value="Sorts the eigenpairs in decending order of their eigenvalues and marks the first n eigenpairs as strong eigenpairs.")
public class FirstNEigenPairFilter
extends Object
implements EigenPairFilter

The FirstNEigenPairFilter marks the n highest eigenpairs as strong eigenpairs, where n is a user specified number.

Since:

0.2

Author:

Elke Achtert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	FirstNEigenPairFilter.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger for this class.
private int	n The threshold for strong eigenvectors: n eigenvectors with the n highest eigenvalues are marked as strong eigenvectors.

Constructor Summary

Constructors

Constructor and Description
FirstNEigenPairFilter(int n) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
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.

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger for this class.

n

private int n

The threshold for strong eigenvectors: n eigenvectors with the n highest eigenvalues are marked as strong eigenvectors.

Constructor Detail

FirstNEigenPairFilter

public FirstNEigenPairFilter(int n)

Constructor.

Parameters:

n -

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