de.lmu.ifi.dbs.elki.datasource.filter.normalization

Interface Normalization<O>

Type Parameters:

O - object type

All Superinterfaces:

InspectionUtilFrequentlyScanned, ObjectFilter, Parameterizable

All Known Implementing Classes:

AbstractNormalization, AbstractStreamNormalization, AttributeWiseErfNormalization, AttributeWiseMinMaxNormalization, AttributeWiseVarianceNormalization, InverseDocumentFrequencyNormalization, LengthNormalization, 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

Methods

Modifier and Type	Method and Description
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