See: Description
Class | Description |
---|---|
AbstractSupervisedProjectionVectorFilter<V extends NumberVector> |
Base class for supervised projection methods.
|
AbstractSupervisedProjectionVectorFilter.Parameterizer<V extends NumberVector> |
Parameterization class.
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ClassicMultidimensionalScalingTransform<O> |
Rescale the data set using multidimensional scaling, MDS.
|
ClassicMultidimensionalScalingTransform.Parameterizer<O extends NumberVector> |
Parameterization class.
|
FastMultidimensionalScalingTransform<O> |
Rescale the data set using multidimensional scaling, MDS.
|
FastMultidimensionalScalingTransform.Parameterizer<O extends NumberVector> |
Parameterization class.
|
GlobalPrincipalComponentAnalysisTransform<O extends NumberVector> |
Apply principal component analysis to the data set.
|
GlobalPrincipalComponentAnalysisTransform.Parameterizer<O extends NumberVector> |
Parameterization class.
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HistogramJitterFilter<V extends NumberVector> |
Add Jitter, preserving the histogram properties (same sum, nonnegative).
|
HistogramJitterFilter.Parameterizer |
Parameterization class.
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LatLngToECEFFilter<V extends NumberVector> |
Project a 2D data set (latitude, longitude) to a 3D coordinate system (X, Y,
Z), such that Euclidean distance is line-of-sight.
|
LatLngToECEFFilter.Parameterizer<V extends NumberVector> |
Parameterization class.
|
LinearDiscriminantAnalysisFilter<V extends NumberVector> |
Linear Discriminant Analysis (LDA) / Fisher's linear discriminant.
|
LinearDiscriminantAnalysisFilter.Parameterizer<V extends NumberVector> |
Parameterization class.
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LngLatToECEFFilter<V extends NumberVector> |
Project a 2D data set (longitude, latitude) to a 3D coordinate system (X, Y,
Z), such that Euclidean distance is line-of-sight.
|
LngLatToECEFFilter.Parameterizer<V extends NumberVector> |
Parameterization class.
|
NumberVectorFeatureSelectionFilter<V extends NumberVector> |
Parser to project the ParsingResult obtained by a suitable base parser onto a
selected subset of attributes.
|
NumberVectorFeatureSelectionFilter.Parameterizer |
Parameterization class.
|
NumberVectorRandomFeatureSelectionFilter<V extends NumberVector> |
Parser to project the ParsingResult obtained by a suitable base parser onto a
randomly selected subset of attributes.
|
NumberVectorRandomFeatureSelectionFilter.Parameterizer |
Parameterization class.
|
PerturbationFilter<V extends NumberVector> |
A filter to perturb the values by adding micro-noise.
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PerturbationFilter.Parameterizer<V extends NumberVector> |
Parameterization class.
|
ProjectionFilter<I,O> |
Apply a projection to the data.
|
ProjectionFilter.Parameterizer<I,O> |
Parameterization class.
|
Enum | Description |
---|---|
PerturbationFilter.NoiseDistribution |
Nature of the noise distribution.
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PerturbationFilter.ScalingReference |
Scaling reference options.
|
Data space transformations.
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.