See: Description
Class | Description |
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AttributeWiseBetaNormalization<V extends NumberVector> |
Project the data using a Beta distribution.
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AttributeWiseBetaNormalization.Parameterizer<V extends NumberVector> |
Parameterization class.
|
AttributeWiseCDFNormalization<V extends NumberVector> |
Class to perform and undo a normalization on real vectors by estimating the
distribution of values along each dimension independently, then rescaling
objects to the cumulative density function (CDF) value at the original
coordinate.
|
AttributeWiseCDFNormalization.Adapter |
Array adapter class for vectors.
|
AttributeWiseCDFNormalization.Parameterizer<V extends NumberVector> |
Parameterization class.
|
AttributeWiseMADNormalization<V extends NumberVector> |
Median Absolute Deviation is used for scaling the data set as follows:
First, the median, and median absolute deviation are computed in each axis.
|
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). |
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.
|
AttributeWiseMinMaxNormalization.Parameterizer<V extends NumberVector> |
Parameterization 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.
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AttributeWiseVarianceNormalization.Parameterizer<V extends NumberVector> |
Parameterization class.
|
IntegerRankTieNormalization |
Normalize vectors according to their rank in the attributes.
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IntegerRankTieNormalization.Sorter |
Class to sort an index array by a particular dimension.
|
InverseDocumentFrequencyNormalization<V extends SparseNumberVector> |
Normalization for text frequency (TF) vectors, using the inverse document
frequency (IDF).
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