de.lmu.ifi.dbs.elki.datasource.filter
Interface Normalization<O>

Type Parameters:

O - object type

All Superinterfaces:

InspectionUtilFrequentlyScanned, ObjectFilter, Parameterizable

All Known Implementing Classes:

AbstractNormalization, AttributeWiseErfNormalization, AttributeWiseMinMaxNormalization, AttributeWiseVarianceNormalization, InverseDocumentFrequencyNormalization, TFIDFNormalization

public interface Normalization<O>
extends ObjectFilter, Parameterizable

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.

It can also transform a matrix describing an equation system of linear dependencies derived on the normalized space to describe linear dependencies quantitatively adapted to the original space.

Method Summary

MultipleObjectsBundle	normalizeObjects(MultipleObjectsBundle objects) Performs a normalization on a database object bundle.
O	restore(O featureVector) Transforms a feature vector to the original attribute ranges.
LinearEquationSystem	transform(LinearEquationSystem linearEquationSystem) Transforms a linear equation system describing linear dependencies derived on the normalized space into a linear equation system describing linear dependencies quantitatively adapted to the original space.

Methods inherited from interface de.lmu.ifi.dbs.elki.datasource.filter.ObjectFilter

filter

Method Detail

normalizeObjects

MultipleObjectsBundle normalizeObjects(MultipleObjectsBundle objects)
                                       throws NonNumericFeaturesException

Performs a normalization on a database object bundle.

Parameters:

objects - the database objects package

Returns:

modified object bundle

Throws:

NonNumericFeaturesException - if feature vectors differ in length or values are not suitable to normalization

restore

O restore(O featureVector)
          throws NonNumericFeaturesException

Transforms a feature vector to the original attribute ranges.

Parameters:

featureVector - a feature vector to be transformed into original space

Returns:

a feature vector transformed into original space corresponding to the given feature vector

Throws:

NonNumericFeaturesException - feature vector is not compatible with values initialized during normalization

transform

LinearEquationSystem transform(LinearEquationSystem linearEquationSystem)
                               throws NonNumericFeaturesException

Transforms a linear equation system describing linear dependencies derived on the normalized space into a linear equation system describing linear dependencies quantitatively adapted to the original space.

Parameters:

linearEquationSystem - the linear equation system to be transformed

Returns:

a linear equation system describing linear dependencies derived on the normalized space transformed into a linear equation system describing linear dependencies quantitatively adapted to the original space

Throws:

NonNumericFeaturesException - if specified linear equation system is not compatible with values initialized during normalization