de.lmu.ifi.dbs.elki.distance.distancefunction
Class AbstractLocallyWeightedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction<O,D>
          de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction<O,DoubleDistance>
              de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction<O,P>

Type Parameters:

O - the type of DatabaseObject to compute the distances in between

P - preprocessor type

All Implemented Interfaces:

DistanceFunction<O,DoubleDistance>, LocalPCAPreprocessorBasedDistanceFunction<O,P,DoubleDistance>, PreprocessorBasedDistanceFunction<O,P,DoubleDistance>, MeasurementFunction<O,DoubleDistance>, PreprocessorBasedMeasurementFunction<O,P,DoubleDistance>, PreprocessorClient<P,O>, Parameterizable

Direct Known Subclasses:

KernelBasedLocallyWeightedDistanceFunction, LocallyWeightedDistanceFunction

public abstract class AbstractLocallyWeightedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>>
extends AbstractDistanceFunction<O,DoubleDistance>
implements PreprocessorClient<P,O>, LocalPCAPreprocessorBasedDistanceFunction<O,P,DoubleDistance>

Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.

Author:

Elke Achtert

Field Summary

private PreprocessorHandler<O,P>

preprocessorHandler The handler class for the preprocessor.

Fields inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

distanceFactory

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

debug, logger

Constructor Summary

protected

AbstractLocallyWeightedDistanceFunction(Parameterization config) Provides an abstract locally weighted distance function.

Method Summary

Class<?>	getDefaultPreprocessorClass() Returns the name of the default preprocessor.
String	getPreprocessorDescription() Returns the description for the preprocessor parameter.
Class<P>	getPreprocessorSuperClass() Returns the super class for the preprocessor parameter.
void	setDatabase(Database<O> database) Set the database that holds the associations for the DatabaseObject for which the measurements should be computed.

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction

distance, distance

Methods inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

getDatabase, getDistanceFactory, infiniteDistance, nullDistance, undefinedDistance, valueOf

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, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.preprocessing.PreprocessorClient

getAssociationID

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

distance, distance, distance

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction

getDistanceFactory, infiniteDistance, nullDistance, undefinedDistance, valueOf

Field Detail

preprocessorHandler

private PreprocessorHandler<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>> preprocessorHandler

The handler class for the preprocessor.

Constructor Detail

AbstractLocallyWeightedDistanceFunction

protected AbstractLocallyWeightedDistanceFunction(Parameterization config)

Provides an abstract locally weighted distance function.

Method Detail

setDatabase

public void setDatabase(Database<O> database)

Description copied from interface: MeasurementFunction

Set the database that holds the associations for the DatabaseObject for which the measurements should be computed.

Specified by:

setDatabase in interface MeasurementFunction<O extends NumberVector<O,?>,DoubleDistance>

Overrides:

setDatabase in class AbstractMeasurementFunction<O extends NumberVector<O,?>,DoubleDistance>

Parameters:

database - Database

getDefaultPreprocessorClass

public Class<?> getDefaultPreprocessorClass()

Description copied from interface: PreprocessorClient

Returns the name of the default preprocessor.

Specified by:

getDefaultPreprocessorClass in interface PreprocessorClient<P extends LocalPCAPreprocessor<O>,O extends NumberVector<O,?>>

Returns:

the name of the default preprocessor, which is KnnQueryBasedLocalPCAPreprocessor

getPreprocessorDescription

public String getPreprocessorDescription()

Description copied from interface: PreprocessorClient

Returns the description for the preprocessor parameter.

Specified by:

getPreprocessorDescription in interface PreprocessorClient<P extends LocalPCAPreprocessor<O>,O extends NumberVector<O,?>>

Returns:

the description for the preprocessor parameter

getPreprocessorSuperClass

public Class<P> getPreprocessorSuperClass()

Description copied from interface: PreprocessorClient

Returns the super class for the preprocessor parameter.

Specified by:

getPreprocessorSuperClass in interface PreprocessorClient<P extends LocalPCAPreprocessor<O>,O extends NumberVector<O,?>>

Returns:

the super class for the preprocessor, which is Preprocessor