Package | Description |
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de.lmu.ifi.dbs.elki.math.linearalgebra |
Linear Algebra package provides classes and computational methods for operations on matrices.
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de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
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Modifier and Type | Method and Description |
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SortedEigenPairs |
SortedEigenPairs.copy()
Returns a deep copy of this object
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Modifier and Type | Field and Description |
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private SortedEigenPairs |
PCAResult.eigenPairs
The eigenpairs in decreasing order.
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Modifier and Type | Method and Description |
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SortedEigenPairs |
PCAResult.getEigenPairs()
Returns the eigenpairs of the object to which this PCA belongs to
in decreasing order.
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Modifier and Type | Method and Description |
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FilteredEigenPairs |
WeakEigenPairFilter.filter(SortedEigenPairs eigenPairs)
Filter eigenpairs
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FilteredEigenPairs |
SignificantEigenPairFilter.filter(SortedEigenPairs eigenPairs) |
FilteredEigenPairs |
RelativeEigenPairFilter.filter(SortedEigenPairs eigenPairs)
Filter eigenpairs
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FilteredEigenPairs |
ProgressiveEigenPairFilter.filter(SortedEigenPairs eigenPairs)
Filter eigenpairs.
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FilteredEigenPairs |
PercentageEigenPairFilter.filter(SortedEigenPairs eigenPairs) |
FilteredEigenPairs |
NormalizingEigenPairFilter.filter(SortedEigenPairs eigenPairs) |
FilteredEigenPairs |
LimitEigenPairFilter.filter(SortedEigenPairs eigenPairs) |
FilteredEigenPairs |
FirstNEigenPairFilter.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.
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FilteredEigenPairs |
DropEigenPairFilter.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.
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Constructor and Description |
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PCAFilteredResult(SortedEigenPairs eigenPairs,
FilteredEigenPairs filteredEigenPairs,
double big,
double small)
Construct a result object for the filtered PCA result.
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PCAResult(double[] eigenvalues,
Matrix eigenvectors,
SortedEigenPairs eigenPairs)
Build a PCA result object.
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PCAResult(SortedEigenPairs eigenPairs)
Build a PCA result from an existing set of EigenPairs.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.