Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Package de.lmu.ifi.dbs.elki.normalization

Data normalization (and reconstitution) of data sets.

See:
          Description

Interface Summary
Normalization<O extends DatabaseObject> 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 Summary
AbstractNormalization<O extends DatabaseObject> Abstract super class for all normalizations.
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.
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.
DummyNormalization<O extends DatabaseObject> Dummy normalization that does nothing.
MultiRepresentedObjectNormalization<O extends DatabaseObject> Class to perform and undo a normalization on multi-represented objects with respect to given normalizations for each representation.
 

Exception Summary
NonNumericFeaturesException An exception to signal the encounter of non numeric features where numeric features have been expected.
 

Package de.lmu.ifi.dbs.elki.normalization Description

Data normalization (and reconstitution) of data sets.


Release 0.3 (2010-03-31_1612)