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