Uses of Interface
de.lmu.ifi.dbs.elki.varianceanalysis.EigenPairFilter

Packages that use EigenPairFilter

de.lmu.ifi.dbs.elki.varianceanalysis

Classes for analysis of variance by different methods.

Uses of EigenPairFilter in de.lmu.ifi.dbs.elki.varianceanalysis

Classes in de.lmu.ifi.dbs.elki.varianceanalysis that implement EigenPairFilter

class	CompositeEigenPairFilter The CompositeEigenPairFilter can be used to build a chain of eigenpair filters.
class	FirstNEigenPairFilter The FirstNEigenPairFilter marks the n highest eigenpairs as strong eigenpairs, where n is a user specified number.
class	LimitEigenPairFilter The LimitEigenPairFilter marks all eigenpairs having an (absolute) eigenvalue below the specified threshold (relative or absolute) as weak eigenpairs, the others are marked as strong eigenpairs.
class	NormalizingEigenPairFilter The NormalizingEigenPairFilter normalizes all eigenvectors s.t.
class	PercentageEigenPairFilter The PercentageEigenPairFilter sorts the eigenpairs in decending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.

Fields in de.lmu.ifi.dbs.elki.varianceanalysis declared as EigenPairFilter

private EigenPairFilter

AbstractPCA.eigenPairFilter The eigenpair filter to determine the strong and weak eigenvectors.

Fields in de.lmu.ifi.dbs.elki.varianceanalysis with type parameters of type EigenPairFilter

private ClassParameter<EigenPairFilter>	AbstractPCA.EIGENPAIR_FILTER_PARAM Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.
private List<EigenPairFilter>	CompositeEigenPairFilter.filters The filters to be applied.