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

Class LengthNormalization<V extends NumberVector<?>>

java.lang.Object

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

de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter<I,O>

de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter<O,O>

de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization<V>

de.lmu.ifi.dbs.elki.datasource.filter.normalization.LengthNormalization<V>

Type Parameters:

V - vector type

All Implemented Interfaces:

BundleStreamSource, Normalization<V>, ObjectFilter, StreamFilter, InspectionUtilFrequentlyScanned, Parameterizable

public class LengthNormalization<V extends NumberVector<?>>
extends AbstractStreamNormalization<V>

Class to perform a normalization on vectors to norm 1.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	LengthNormalization.Parameterizer<V extends NumberVector<?>> Parameterization class.

Nested classes/interfaces inherited from interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource

BundleStreamSource.Event

Field Summary

Fields

Modifier and Type	Field and Description
(package private) DoubleNorm<? super V>	norm Norm to use.

Fields inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter

factory

Fields inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

source

Constructor Summary

Constructors

Constructor and Description
LengthNormalization(DoubleNorm<? super V> norm) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected V	filterSingleObject(V featureVector) Normalize a single instance.
protected SimpleTypeInformation<? super V>	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
V	restore(V 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 class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization

convertedType, normalizeObjects, toString

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter

initializeOutputType

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter

data, getMeta, nextEvent

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

filter, init

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

filter

Field Detail

norm

DoubleNorm<? super V extends NumberVector<?>> norm

Norm to use.

Constructor Detail

LengthNormalization

public LengthNormalization(DoubleNorm<? super V> norm)

Constructor.

Parameters:

norm - Norm to use

Method Detail

filterSingleObject

protected V filterSingleObject(V featureVector)

Description copied from class: AbstractStreamConversionFilter

Normalize a single instance. You can implement this as UnsupportedOperationException if you override both public "normalize" functions!

Specified by:

filterSingleObject in class AbstractStreamConversionFilter<V extends NumberVector<?>,V extends NumberVector<?>>

Parameters:

featureVector - Database object to normalize

Returns:

Normalized database object

restore

public V restore(V featureVector)

Description copied from interface: Normalization

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

transform

public LinearEquationSystem transform(LinearEquationSystem linearEquationSystem)

Description copied from interface: Normalization

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.

Specified by:

transform in interface Normalization<V extends NumberVector<?>>

Overrides:

transform in class AbstractStreamNormalization<V extends NumberVector<?>>

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

getInputTypeRestriction

protected SimpleTypeInformation<? super V> getInputTypeRestriction()

Description copied from class: AbstractStreamConversionFilter

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in class AbstractStreamConversionFilter<V extends NumberVector<?>,V extends NumberVector<?>>

Returns:

Type restriction