Uses of Class
elki.datasource.filter.AbstractVectorConversionFilter
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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. -
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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.
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