Uses of Class
de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Packages that use SortedEigenPairs

de.lmu.ifi.dbs.elki.math.linearalgebra	Linear Algebra package provides classes and computational methods for operations on matrices.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.

Uses of SortedEigenPairs in de.lmu.ifi.dbs.elki.math.linearalgebra

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

SortedEigenPairs

SortedEigenPairs.copy() Returns a deep copy of this object

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

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

private SortedEigenPairs

PCAResult.eigenPairs The eigenpairs in decreasing order.

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

SortedEigenPairs

PCAResult.getEigenPairs() Returns a copy of the eigenpairs of the object to which this PCA belongs to in decreasing order.

Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with parameters of type SortedEigenPairs

FilteredEigenPairs	FirstNEigenPairFilter.filter(SortedEigenPairs eigenPairs)
FilteredEigenPairs	LimitEigenPairFilter.filter(SortedEigenPairs eigenPairs)
FilteredEigenPairs	PercentageEigenPairFilter.filter(SortedEigenPairs eigenPairs)
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	WeakEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter eigenpairs
FilteredEigenPairs	NormalizingEigenPairFilter.filter(SortedEigenPairs eigenPairs)
FilteredEigenPairs	ProgressiveEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter eigenpairs.
FilteredEigenPairs	RelativeEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter 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	SignificantEigenPairFilter.filter(SortedEigenPairs eigenPairs) Filter eigenpairs

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

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

PCAResult(double[] eigenvalues, Matrix eigenvectors, SortedEigenPairs eigenPairs)
Build a PCA result object.

PCAResult(SortedEigenPairs eigenPairs)
Build a PCA result from an existing set of EigenPairs.