de.lmu.ifi.dbs.elki.normalization
Class DummyNormalization<O extends DatabaseObject>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
          de.lmu.ifi.dbs.elki.normalization.DummyNormalization<O>

Type Parameters:

O - object type

All Implemented Interfaces:

Normalization<O>, Parameterizable

public class DummyNormalization<O extends DatabaseObject>
extends AbstractParameterizable
implements Normalization<O>

Dummy normalization that does nothing. This class is used at normalization of multi-represented objects if one representation needs no normalization.

Author:

Elke Achtert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

optionHandler

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

DummyNormalization()

Method Summary

List<O>	normalize(List<O> featureVectors) Performs a normalization on a set of feature vectors.
List<Pair<O,Associations>>	normalizeObjects(List<Pair<O,Associations>> objectAndAssociationsList) Performs a normalization on a list of database objects and their associations.
List<O>	restore(List<O> featureVectors) Transforms a set of feature vectores to the original attribute ranges.
O	restore(O featureVector) Transforms a feature vector to the original attribute ranges.
String	shortDescription() Returns a short description of the class.
String	toString() Returns a string representation of this object.
String	toString(String pre) Returns a string representation of this normalization.
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.utilities.optionhandling.AbstractParameterizable

addOption, addParameterizable, addParameterizable, checkGlobalParameterConstraints, collectOptions, getAttributeSettings, getParameters, rememberParametersExcept, removeOption, removeParameterizable, setParameters

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

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.utilities.optionhandling.Parameterizable

checkGlobalParameterConstraints, collectOptions, getParameters, setParameters

Constructor Detail

DummyNormalization

public DummyNormalization()

Method Detail

normalizeObjects

public List<Pair<O,Associations>> normalizeObjects(List<Pair<O,Associations>> objectAndAssociationsList)

Description copied from interface: Normalization

Performs a normalization on a list of database objects and their associations.

Specified by:

normalizeObjects in interface Normalization<O extends DatabaseObject>

Parameters:

objectAndAssociationsList - the list of database objects and their associations

Returns:

the specified objectAndAssociationsList

normalize

public List<O> normalize(List<O> featureVectors)

Description copied from interface: Normalization

Performs a normalization on a set of feature vectors.

Specified by:

normalize in interface Normalization<O extends DatabaseObject>

Parameters:

featureVectors - a set of feature vectors to be normalized

Returns:

the specified featureVectors

restore

public List<O> restore(List<O> featureVectors)

Description copied from interface: Normalization

Transforms a set of feature vectores to the original attribute ranges.

Specified by:

restore in interface Normalization<O extends DatabaseObject>

Parameters:

featureVectors - a set of feature vectors to be transformed into original space

Returns:

the specified featureVectors

restore

public O restore(O featureVector)

Description copied from interface: Normalization

Transforms a feature vector to the original attribute ranges.

Specified by:

restore in interface Normalization<O extends DatabaseObject>

Parameters:

featureVector - a feature vector to be transformed into original space

Returns:

the specified featureVector

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<O extends DatabaseObject>

Parameters:

linearEquationSystem - the linear equation system to be transformed

Returns:

the specified linear equation system

toString

public String toString(String pre)

Description copied from interface: Normalization

Returns a string representation of this normalization. The specified prefix pre will be the prefix of each new line. This method is used to write the parameters of a normalization to a result of an algorithm using this normalization.

Specified by:

toString in interface Normalization<O extends DatabaseObject>

Parameters:

pre - the prefix of each new line

Returns:

a string representation of this normalization

shortDescription

public String shortDescription()

Description copied from class: AbstractParameterizable

Returns a short description of the class.

Specified by:

shortDescription in interface Parameterizable

Overrides:

shortDescription in class AbstractParameterizable

Returns:

Description of the class

toString

public String toString()

Returns a string representation of this object.

Overrides:

toString in class Object

Returns:

a string representation of this object