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

Class SparseVectorFieldFilter<V extends SparseNumberVector<?>>

java.lang.Object

de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter<V,V>

de.lmu.ifi.dbs.elki.datasource.filter.SparseVectorFieldFilter<V>

Type Parameters:

V - Vector type

All Implemented Interfaces:

ObjectFilter, InspectionUtilFrequentlyScanned

public class SparseVectorFieldFilter<V extends SparseNumberVector<?>>
extends AbstractConversionFilter<V,V>

Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) int	maxdim Maximum dimension.

Constructor Summary

Constructors

Constructor and Description
SparseVectorFieldFilter() Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected SimpleTypeInformation<? super V>	convertedType(SimpleTypeInformation<V> in) Get the output type from the input type after conversion.
protected V	filterSingleObject(V obj) Normalize a single instance.
protected SimpleTypeInformation<? super V>	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected void	prepareProcessInstance(V obj) Process a single object during initialization.
protected boolean	prepareStart(SimpleTypeInformation<V> in) Return "true" when the normalization needs initialization (two-pass filtering!).

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

filter, prepareComplete

Methods inherited from class java.lang.Object

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

Field Detail

maxdim

int maxdim

Maximum dimension.

Constructor Detail

SparseVectorFieldFilter

public SparseVectorFieldFilter()

Constructor.

Method Detail

prepareStart

protected boolean prepareStart(SimpleTypeInformation<V> in)

Description copied from class: AbstractConversionFilter

Return "true" when the normalization needs initialization (two-pass filtering!).

Overrides:

prepareStart in class AbstractConversionFilter<V extends SparseNumberVector<?>,V extends SparseNumberVector<?>>

Parameters:

in - Input type information

Returns:

true or false

prepareProcessInstance

protected void prepareProcessInstance(V obj)

Description copied from class: AbstractConversionFilter

Process a single object during initialization.

Overrides:

prepareProcessInstance in class AbstractConversionFilter<V extends SparseNumberVector<?>,V extends SparseNumberVector<?>>

Parameters:

obj - Object to process

filterSingleObject

protected V filterSingleObject(V 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<V extends SparseNumberVector<?>,V extends SparseNumberVector<?>>

Parameters:

obj - Database object to normalize

Returns:

Normalized database object

getInputTypeRestriction

protected SimpleTypeInformation<? super V> getInputTypeRestriction()

Description copied from class: AbstractConversionFilter

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

Specified by:

getInputTypeRestriction in class AbstractConversionFilter<V extends SparseNumberVector<?>,V extends SparseNumberVector<?>>

Returns:

Type restriction

convertedType

protected SimpleTypeInformation<? super V> convertedType(SimpleTypeInformation<V> in)

Description copied from class: AbstractConversionFilter

Get the output type from the input type after conversion.

Specified by:

convertedType in class AbstractConversionFilter<V extends SparseNumberVector<?>,V extends SparseNumberVector<?>>

Parameters:

in - input type restriction

Returns:

output type restriction