## Uses of Classde.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter

• Packages that use AbstractVectorStreamConversionFilter
Package Description
de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Instancewise normalization, where each instance is normalized independently.
de.lmu.ifi.dbs.elki.datasource.filter.transform
Data space transformations
• ### Uses of AbstractVectorStreamConversionFilter in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Modifier and Type Class and 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 AbstractVectorStreamConversionFilter in de.lmu.ifi.dbs.elki.datasource.filter.transform

Modifier and Type Class and Description
class  HistogramJitterFilter<V extends NumberVector>
Add Jitter, preserving the histogram properties (same sum, nonnegative).
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.