Uses of Class
elki.datasource.filter.AbstractVectorStreamConversionFilter

Packages that use AbstractVectorStreamConversionFilter

Package	Description
elki.datasource.filter.normalization.instancewise	Instancewise normalization, where each instance is normalized independently.
elki.datasource.filter.transform	Data space transformations.

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

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

Modifier and Type	Class	Description
class	HellingerHistogramNormalization<V extends elki.data.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 elki.data.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 elki.data.NumberVector>	Normalize vectors such that they have zero mean and unit variance.
class	InstanceMinMaxNormalization<V extends elki.data.NumberVector>	Normalize vectors with respect to a given minimum and maximum in each dimension.
class	InstanceRankNormalization<V extends elki.data.NumberVector>	Normalize vectors such that the smallest value of each instance is 0, the largest is 1.
class	LengthNormalization<V extends elki.data.NumberVector>	Class to perform a normalization on vectors to norm 1.
class	Log1PlusNormalization<V extends elki.data.NumberVector>	Normalize the data set by applying \( \frac{\log(1+|x|b)}{\log 1+b} \) to any value.

Uses of AbstractVectorStreamConversionFilter in elki.datasource.filter.transform

Subclasses of AbstractVectorStreamConversionFilter in elki.datasource.filter.transform

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