Uses of Class
elki.datasource.filter.AbstractVectorConversionFilter

Packages that use AbstractVectorConversionFilter

Package	Description
elki.datasource.filter.normalization.columnwise	Normalizations operating on columns / variates; where each column is treated independently.
elki.datasource.filter.transform	Data space transformations.

Uses of AbstractVectorConversionFilter in elki.datasource.filter.normalization.columnwise

Subclasses of AbstractVectorConversionFilter in elki.datasource.filter.normalization.columnwise

Modifier and Type	Class	Description
class	AttributeWiseMeanNormalization<V extends NumberVector>	Normalization designed for data with a meaningful zero: The 0 is retained, and the data is linearly scaled to have a mean of 1, by projection with f(x) = x / mean(X).
class	AttributeWiseMinMaxNormalization<V extends NumberVector>	Class to perform and undo a normalization on real vectors with respect to a given minimum and maximum in each dimension.
class	AttributeWiseVarianceNormalization<V extends NumberVector>	Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension.
class	InverseDocumentFrequencyNormalization<V extends SparseNumberVector>	Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).

Uses of AbstractVectorConversionFilter in elki.datasource.filter.transform

Subclasses of AbstractVectorConversionFilter in elki.datasource.filter.transform

Modifier and Type	Class	Description
class	GlobalPrincipalComponentAnalysisTransform<O extends NumberVector>	Apply Principal Component Analysis (PCA) to the data set.
class	PerturbationFilter<V extends NumberVector>	A filter to perturb the values by adding micro-noise.