de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
Class ArbitraryKernelFunctionWrapper<O extends FeatureVector<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,D>
              de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractKernelFunction<O,DoubleDistance>
                  de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper<O>

Type Parameters:

O - object type

All Implemented Interfaces:

DistanceFunction<O,DoubleDistance>, MeasurementFunction<O,DoubleDistance>, KernelFunction<O,DoubleDistance>, SimilarityFunction<O,DoubleDistance>, Parameterizable

public class ArbitraryKernelFunctionWrapper<O extends FeatureVector<O,?>>
extends AbstractKernelFunction<O,DoubleDistance>

Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed.

Author:

Simon Paradies

Field Summary

private KernelMatrix<O>

kernelMatrix The global kernel Matrix.

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

ArbitraryKernelFunctionWrapper()
Provides a wrapper for arbitrary kernel functions whose kernel matrix has already been precomputed.

Method Summary

DoubleDistance	distance(Integer id1, Integer id2) Returns the distance between the two objects specified by their object ids.
DoubleDistance	distance(O o1, O o2) Returns the distance between the two specified objects.
void	setDatabase(Database<O> database) Set the database that holds the associations for the DatabaseObject for which the measurements should be computed.
DoubleDistance	similarity(O o1, O o2) Provides a wrapper for arbitrary kernel functions whose kernel matrix has already been precomputed.

Methods inherited from class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractKernelFunction

similarity, similarity

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

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.distance.distancefunction.DistanceFunction

distance

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

getDistanceFactory, infiniteDistance, nullDistance, undefinedDistance, valueOf

Field Detail

kernelMatrix

private KernelMatrix<O extends FeatureVector<O,?>> kernelMatrix

The global kernel Matrix.

Constructor Detail

ArbitraryKernelFunctionWrapper

public ArbitraryKernelFunctionWrapper()

Provides a wrapper for arbitrary kernel functions whose kernel matrix has already been precomputed.

Method Detail

similarity

public DoubleDistance similarity(O o1,
                                 O o2)

Provides a wrapper for arbitrary kernel functions whose kernel matrix has already been precomputed. Returns the value that is stored in the kernel matrix which itself is stored in the database.

Parameters:

o1 - first vector

o2 - second vector

Returns:

the linear kernel similarity which is stored in the Global Database

distance

public DoubleDistance distance(O o1,
                               O o2)

Returns the distance between the two specified objects.

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

Returns:

the distance between the two object specified by their object ids

distance

public DoubleDistance distance(Integer id1,
                               Integer id2)

Returns the distance between the two objects specified by their object ids.

Specified by:

distance in interface DistanceFunction<O extends FeatureVector<O,?>,DoubleDistance>

Overrides:

distance in class AbstractDistanceFunction<O extends FeatureVector<O,?>,DoubleDistance>

Parameters:

id1 - first object id

id2 - second object id

Returns:

the distance between the two objects specified by their object ids

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 FeatureVector<O,?>,DoubleDistance>

Overrides:

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

Parameters:

database - Database