de.lmu.ifi.dbs.elki.datasource.filter
Class AttributeWiseErfNormalization<O extends NumberVector<O,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter<O,O>
      de.lmu.ifi.dbs.elki.datasource.filter.AbstractNormalization<O>
          de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseErfNormalization<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Normalization<O>, ObjectFilter, InspectionUtilFrequentlyScanned, Parameterizable

public class AttributeWiseErfNormalization<O extends NumberVector<O,?>>
extends AbstractNormalization<O>

Attribute-wise Normalization using the error function. This mostly makes sense when you have data that has been mean-variance normalized before.

Constructor Summary

AttributeWiseErfNormalization()
Constructor.

Method Summary

protected O	filterSingleObject(O obj) Normalize a single instance.
protected SimpleTypeInformation<? super O>	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
O	restore(O featureVector) Transforms a feature vector to the original attribute ranges.

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

convertedType, normalizeObjects, toString, transform

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

filter, prepareComplete, prepareProcessInstance, prepareStart

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

Constructor Detail

AttributeWiseErfNormalization

public AttributeWiseErfNormalization()

Constructor.

Method Detail

restore

public O restore(O featureVector)
                                    throws NonNumericFeaturesException

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

Throws:

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

filterSingleObject

protected O filterSingleObject(O obj)

Description copied from class: AbstractConversionFilter

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

Specified by:

filterSingleObject in class AbstractConversionFilter<O extends NumberVector<O,?>,O extends NumberVector<O,?>>

Parameters:

obj - Database object to normalize

Returns:

Normalized database object

getInputTypeRestriction

protected SimpleTypeInformation<? super O> getInputTypeRestriction()

Description copied from class: AbstractConversionFilter

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

Specified by:

getInputTypeRestriction in class AbstractConversionFilter<O extends NumberVector<O,?>,O extends NumberVector<O,?>>

Returns:

Type restriction