Uses of Class
elki.datasource.filter.AbstractStreamConversionFilter

Packages that use AbstractStreamConversionFilter

Package	Description
elki.datasource.filter	Data filtering, in particular for normalization and projection.
elki.datasource.filter.normalization.instancewise	Instancewise normalization, where each instance is normalized independently.
elki.datasource.filter.transform	Data space transformations.
elki.datasource.filter.typeconversions	Filters to perform data type conversions.

Uses of AbstractStreamConversionFilter in elki.datasource.filter

Subclasses of AbstractStreamConversionFilter in elki.datasource.filter

Modifier and Type	Class	Description
class	AbstractVectorStreamConversionFilter<I,O extends NumberVector>	Abstract base class for streaming filters that produce vectors.

Uses of AbstractStreamConversionFilter in elki.datasource.filter.normalization.instancewise

Subclasses of AbstractStreamConversionFilter in elki.datasource.filter.normalization.instancewise

Modifier and Type	Class	Description
class	HellingerHistogramNormalization<V extends NumberVector>	Normalize histograms by scaling them to unit absolute sum, then taking the square root of the absolute value in each attribute, times the normalization constant \(1/\sqrt{2}\).
class	InstanceLogRankNormalization<V extends NumberVector>	Normalize vectors such that the smallest value of each instance is 0, the largest is 1, but using \( \log_2(1+x) \).
class	InstanceMeanVarianceNormalization<V extends NumberVector>	Normalize vectors such that they have zero mean and unit variance.
class	InstanceMinMaxNormalization<V extends NumberVector>	Normalize vectors with respect to a given minimum and maximum in each dimension.
class	InstanceRankNormalization<V extends NumberVector>	Normalize vectors such that the smallest value of each instance is 0, the largest is 1.
class	LengthNormalization<V extends NumberVector>	Class to perform a normalization on vectors to norm 1.
class	Log1PlusNormalization<V extends NumberVector>	Normalize the data set by applying \( \frac{\log(1+|x|b)}{\log 1+b} \) to any value.

Uses of AbstractStreamConversionFilter in elki.datasource.filter.transform

Subclasses of AbstractStreamConversionFilter in elki.datasource.filter.transform

Modifier and Type	Class	Description
class	HistogramJitterFilter<V extends NumberVector>	Add jitter, preserving the histogram properties (same sum, nonnegative).
class	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.
class	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.
class	NumberVectorFeatureSelectionFilter<V extends NumberVector>	Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.
class	NumberVectorRandomFeatureSelectionFilter<V extends NumberVector>	Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.
class	ProjectionFilter<I,O>	Apply a projection to the data.

Uses of AbstractStreamConversionFilter in elki.datasource.filter.typeconversions

Subclasses of AbstractStreamConversionFilter in elki.datasource.filter.typeconversions

Modifier and Type	Class	Description
class	MultivariateTimeSeriesFilter<V extends FeatureVector<?>>	Class to "fold" a flat number vector into a multivariate time series.