Uses of Class
de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs

Packages that use FilteredEigenPairs

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

Principal Component Analysis (PCA) and Eigenvector processing.

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

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

FilteredEigenPairs	RelativeEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter eigenpairs
FilteredEigenPairs	FirstNEigenPairFilter.filter(SortedEigenPairs eigenPairs)
FilteredEigenPairs	LimitEigenPairFilter.filter(SortedEigenPairs eigenPairs)
FilteredEigenPairs	EigenPairFilter.filter(SortedEigenPairs eigenPairs) Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
FilteredEigenPairs	CompositeEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
FilteredEigenPairs	NormalizingEigenPairFilter.filter(SortedEigenPairs eigenPairs)
FilteredEigenPairs	ProgressiveEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter eigenpairs.
FilteredEigenPairs	PercentageEigenPairFilter.filter(SortedEigenPairs eigenPairs)
FilteredEigenPairs	SignificantEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter eigenpairs
FilteredEigenPairs	WeakEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter eigenpairs

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

PCAFilteredResult(SortedEigenPairs eigenPairs, FilteredEigenPairs filteredEigenPairs, double big, double small)
Construct a result object for the filtered PCA result.