Uses of Interface
elki.math.linearalgebra.pca.filter.EigenPairFilter

Packages that use EigenPairFilter

Package	Description
elki.algorithm	Miscellaneous algorithms.
elki.clustering.correlation	Correlation clustering algorithms.
elki.clustering.dbscan.predicates	Neighbor and core predicated for Generalized DBSCAN.
elki.datasource.filter.transform	Data space transformations.
elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and eigenvector processing.
elki.math.linearalgebra.pca.filter	Filter eigenvectors based on their eigenvalues.
elki.math.statistics.intrinsicdimensionality	Methods for estimating the intrinsic dimensionality.
elki.outlier	Outlier detection algorithms.

Uses of EigenPairFilter in elki.algorithm

Fields in elki.algorithm declared as EigenPairFilter

Modifier and Type	Field	Description
private EigenPairFilter	DependencyDerivator.filter	Filter to select eigenvectors.
protected EigenPairFilter	DependencyDerivator.Par.filter	Filter to select eigenvectors.

Constructors in elki.algorithm with parameters of type EigenPairFilter

Constructor	Description
DependencyDerivator(NumberVectorDistance<? super V> distance, java.text.NumberFormat nf, PCARunner pca, EigenPairFilter filter, int sampleSize, boolean randomsample)	Constructor.

Uses of EigenPairFilter in elki.clustering.correlation

Fields in elki.clustering.correlation declared as EigenPairFilter

Modifier and Type	Field	Description
EigenPairFilter	COPAC.Settings.filter	Eigenpair filter.
EigenPairFilter	ERiC.Settings.filter	Filter for Eigenvectors.
private EigenPairFilter	HiCO.filter	Filter for selecting eigenvectors

Uses of EigenPairFilter in elki.clustering.dbscan.predicates

Fields in elki.clustering.dbscan.predicates declared as EigenPairFilter

Modifier and Type	Field	Description
private EigenPairFilter	FourCNeighborPredicate.filter	Filter for selecting eigenvectors.

Uses of EigenPairFilter in elki.datasource.filter.transform

Fields in elki.datasource.filter.transform declared as EigenPairFilter

Modifier and Type	Field	Description
(package private) EigenPairFilter	GlobalPrincipalComponentAnalysisTransform.filter	Filter to use for dimensionality reduction.
(package private) EigenPairFilter	GlobalPrincipalComponentAnalysisTransform.Par.filter	Filter to use for dimensionality reduction.

Constructors in elki.datasource.filter.transform with parameters of type EigenPairFilter

Constructor	Description
GlobalPrincipalComponentAnalysisTransform(EigenPairFilter filter)	Constructor.
GlobalPrincipalComponentAnalysisTransform(EigenPairFilter filter, GlobalPrincipalComponentAnalysisTransform.Mode mode)	Constructor.

Uses of EigenPairFilter in elki.math.linearalgebra.pca

Fields in elki.math.linearalgebra.pca declared as EigenPairFilter

Modifier and Type	Field	Description
private EigenPairFilter	AutotuningPCA.filter	Filter to select eigenvectors.
private EigenPairFilter	AutotuningPCA.Par.filter	Filter to select eigenvectors.

Constructors in elki.math.linearalgebra.pca with parameters of type EigenPairFilter

Constructor	Description
AutotuningPCA(CovarianceMatrixBuilder covarianceMatrixBuilder, EigenPairFilter filter)	Constructor.

Uses of EigenPairFilter in elki.math.linearalgebra.pca.filter

Classes in elki.math.linearalgebra.pca.filter that implement EigenPairFilter

Modifier and Type	Class	Description
class	DropEigenPairFilter	The "drop" filter looks for the largest drop in normalized relative eigenvalues.
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	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".

Uses of EigenPairFilter in elki.math.statistics.intrinsicdimensionality

Fields in elki.math.statistics.intrinsicdimensionality declared as EigenPairFilter

Modifier and Type	Field	Description
protected EigenPairFilter	LPCAEstimator.eigenFilter	Eigenvalue filter
private EigenPairFilter	LPCAEstimator.Par.eigenPairFilter	EigenPairFilter to use.

Constructors in elki.math.statistics.intrinsicdimensionality with parameters of type EigenPairFilter

Constructor	Description
LPCAEstimator(EigenPairFilter eigenFilter)	Constructor.

Uses of EigenPairFilter in elki.outlier

Fields in elki.outlier declared as EigenPairFilter

Modifier and Type	Field	Description
protected EigenPairFilter	SimpleCOP.Par.filter	Filter for selecting eigenvectors.

Constructors in elki.outlier with parameters of type EigenPairFilter

Constructor	Description
SimpleCOP(Distance<? super V> distance, int k, PCARunner pca, EigenPairFilter filter)	Constructor.