Uses of Interface
de.lmu.ifi.dbs.elki.math.linearalgebra.pca.EigenPairFilter

Packages that use EigenPairFilter

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

Principal Component Analysis (PCA) and Eigenvector processing.

Uses of EigenPairFilter in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca 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 descending 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.
class	ProgressiveEigenPairFilter The ProgressiveEigenPairFilter sorts the eigenpairs in descending 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.
class	RelativeEigenPairFilter The RelativeEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs who are a certain factor above the average of the remaining eigenvalues.
class	SignificantEigenPairFilter The SignificantEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and chooses the contrast of an Eigenvalue to the remaining Eigenvalues is maximal.
class	WeakEigenPairFilter 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".

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as EigenPairFilter

private EigenPairFilter	PCAFilteredRunner.eigenPairFilter Holds the instance of the EigenPairFilter specified by PCAFilteredRunner.PCA_EIGENPAIR_FILTER.
protected EigenPairFilter	PCAFilteredRunner.Parameterizer.eigenPairFilter Holds the instance of the EigenPairFilter specified by PCAFilteredRunner.PCA_EIGENPAIR_FILTER.

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with type parameters of type EigenPairFilter

private List<EigenPairFilter>	CompositeEigenPairFilter.filters The filters to be applied.
private List<EigenPairFilter>	CompositeEigenPairFilter.Parameterizer.filters The filters to be applied.

Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that return EigenPairFilter

protected EigenPairFilter

PCAFilteredRunner.getEigenPairFilter() Retrieve the EigenPairFilter to be used.

Constructors in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with parameters of type EigenPairFilter

PCAFilteredRunner(CovarianceMatrixBuilder<V> covarianceMatrixBuilder, EigenPairFilter eigenPairFilter, double big, double small)
Constructor.

Constructor parameters in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with type arguments of type EigenPairFilter

CompositeEigenPairFilter(List<EigenPairFilter> filters)
Constructor.