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