| 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> |
Abstract super class for all normalizations.
|
| AbstractStreamNormalization<O> |
Abstract super class for all normalizations.
|
| AttributeWiseErfNormalization<O extends NumberVector<O,?>> |
Attribute-wise Normalization using the error function.
|
| AttributeWiseMinMaxNormalization<V extends NumberVector<V,?>> |
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<V,?>> |
Parameterization class.
|
| AttributeWiseVarianceNormalization<V extends NumberVector<V,?>> |
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<V,?>> |
Parameterization class.
|
| InverseDocumentFrequencyNormalization<V extends SparseNumberVector<V,?>> |
Normalization for text frequency vectors, using the inverse document
frequency.
|
| LengthNormalization<V extends NumberVector<V,?>> |
Class to perform a normalization on vectors to norm 1.
|
| LengthNormalization.Parameterizer<V extends NumberVector<V,?>> |
Parameterization class.
|
| RankTieNormalization |
Normalize vectors according to their rank in the attributes.
|
| TFIDFNormalization<V extends SparseNumberVector<V,?>> |
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.