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

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter

All Implemented Interfaces:

EigenPairFilter, Parameterizable

@Title(value="Weak Eigenpair Filter")
@Description(value="Sorts the eigenpairs in decending order of their eigenvalues and returns those eigenpairs, whose eigenvalue is above the average (\'expected\') eigenvalue.")
public class WeakEigenPairFilter
extends AbstractLoggable
implements EigenPairFilter, Parameterizable

The WeakEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and returns the first eigenpairs who are above the average mark as "strong", the others as "weak".

Author:

Erich Schubert

Field Summary

static double	DEFAULT_WALPHA The default value for walpha.
static OptionID	EIGENPAIR_FILTER_WALPHA OptionID for WALPHA_PARAM and ProgressiveEigenPairFilter.WALPHA_PARAM and SignificantEigenPairFilter.WALPHA_PARAM
private double	walpha The noise tolerance level for weak eigenvectors
private DoubleParameter	WALPHA_PARAM Parameter weak alpha.

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

debug, logger

Constructor Summary

WeakEigenPairFilter(Parameterization config)
Constructor, adhering to Parameterizable

Method Summary

FilteredEigenPairs

filter(SortedEigenPairs eigenPairs) Filter eigenpairs

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

Field Detail

EIGENPAIR_FILTER_WALPHA

public static final OptionID EIGENPAIR_FILTER_WALPHA

OptionID for WALPHA_PARAM and ProgressiveEigenPairFilter.WALPHA_PARAM and SignificantEigenPairFilter.WALPHA_PARAM

DEFAULT_WALPHA

public static final double DEFAULT_WALPHA

The default value for walpha.

See Also:

Constant Field Values

WALPHA_PARAM

private final DoubleParameter WALPHA_PARAM

Parameter weak alpha.

walpha

private double walpha

The noise tolerance level for weak eigenvectors

Constructor Detail

WeakEigenPairFilter

public WeakEigenPairFilter(Parameterization config)

Constructor, adhering to Parameterizable

Parameters:

config - Parameterization

Method Detail

filter

public FilteredEigenPairs filter(SortedEigenPairs eigenPairs)

Filter eigenpairs

Specified by:

filter in interface EigenPairFilter

Parameters:

eigenPairs - the eigenPairs (i.e. the eigenvectors and

Returns:

the filtered eigenpairs