Interface | Description |
---|---|
Normalization<O> |
Normalization performs a normalization on a set of feature vectors and is
capable to transform a set of feature vectors to the original attribute
ranges.
|
Class | Description |
---|---|
AbstractNormalization<O extends NumberVector<?>> |
Abstract super class for all normalizations.
|
AbstractStreamNormalization<O extends NumberVector<?>> |
Abstract super class for all normalizations.
|
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.
|
AttributeWiseErfNormalization<O extends NumberVector<?>> |
Attribute-wise Normalization using the error function.
|
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.
|
AttributeWiseMinMaxNormalization<V extends NumberVector<?>> |
Class to perform and undo a normalization on real vectors with respect to
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.
|
AttributeWiseVarianceNormalization.Parameterizer<V extends NumberVector<?>> |
Parameterization class.
|
InverseDocumentFrequencyNormalization<V extends SparseNumberVector<?>> |
Normalization for text frequency vectors, using the inverse document
frequency.
|
LengthNormalization<V extends NumberVector<?>> |
Class to perform a normalization on vectors to norm 1.
|
LengthNormalization.Parameterizer<V extends NumberVector<?>> |
Parameterization class.
|
RankTieNormalization |
Normalize vectors according to their rank in the attributes.
|
TFIDFNormalization<V extends SparseNumberVector<?>> |
Perform full TF-IDF Normalization as commonly used in text mining.
|
Exception | Description |
---|---|
NonNumericFeaturesException |
An exception to signal the encounter of non numeric features where numeric
features have been expected.
|
Data normalization.