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Packages that use EigenPairFilter | |
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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 |
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Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that implement EigenPairFilter | |
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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 | |
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private EigenPairFilter |
PCAFilteredRunner.eigenPairFilter
Holds the instance of the EigenPairFilter specified by PCAFilteredRunner.EIGENPAIR_FILTER_PARAM . |
Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with type parameters of type EigenPairFilter | |
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private ObjectParameter<EigenPairFilter> |
PCAFilteredRunner.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. |
private ClassListParameter<EigenPairFilter> |
CompositeEigenPairFilter.FILTERS_PARAM
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Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that return EigenPairFilter | |
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protected EigenPairFilter |
PCAFilteredRunner.getEigenPairFilter()
Retrieve the EigenPairFilter to be used. |
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