de.lmu.ifi.dbs.elki.distance.similarityfunction

Class AbstractVectorDoubleSimilarityFunction

java.lang.Object

de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPrimitiveSimilarityFunction<NumberVector<?>,DoubleDistance>

de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractVectorDoubleSimilarityFunction

All Implemented Interfaces:

PrimitiveDoubleSimilarityFunction<NumberVector<?>>, PrimitiveSimilarityFunction<NumberVector<?>,DoubleDistance>, SimilarityFunction<NumberVector<?>,DoubleDistance>, Parameterizable

Direct Known Subclasses:

Kulczynski1SimilarityFunction, Kulczynski2SimilarityFunction, LaplaceKernelFunction, PolynomialKernelFunction, RadialBasisFunctionKernelFunction, RationalQuadraticKernelFunction, SigmoidKernelFunction

public abstract class AbstractVectorDoubleSimilarityFunction
extends AbstractPrimitiveSimilarityFunction<NumberVector<?>,DoubleDistance>
implements PrimitiveDoubleSimilarityFunction<NumberVector<?>>

Abstract base class for double-valued primitive similarity functions.

Constructor Summary

Constructors

Constructor and Description
AbstractVectorDoubleSimilarityFunction()

Method Summary

Methods

Modifier and Type	Method and Description
DoubleDistance	getDistanceFactory() Get a distance factory.
SimpleTypeInformation<? super NumberVector<?>>	getInputTypeRestriction() Get the input data type of the function.
DoubleDistance	similarity(NumberVector<?> o1, NumberVector<?> o2) Computes the similarity between two given DatabaseObjects according to this similarity function.

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

instantiate, isSymmetric

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.similarityfunction.PrimitiveDoubleSimilarityFunction

doubleSimilarity

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

instantiate, isSymmetric

Constructor Detail

AbstractVectorDoubleSimilarityFunction

public AbstractVectorDoubleSimilarityFunction()

Method Detail

getDistanceFactory

public DoubleDistance getDistanceFactory()

Description copied from interface: SimilarityFunction

Get a distance factory.

Specified by:

getDistanceFactory in interface SimilarityFunction<NumberVector<?>,DoubleDistance>

Returns:

distance factory

similarity

public DoubleDistance similarity(NumberVector<?> o1,
                        NumberVector<?> o2)

Description copied from interface: PrimitiveSimilarityFunction

Computes the similarity between two given DatabaseObjects according to this similarity function.

Specified by:

similarity in interface PrimitiveSimilarityFunction<NumberVector<?>,DoubleDistance>

Specified by:

similarity in class AbstractPrimitiveSimilarityFunction<NumberVector<?>,DoubleDistance>

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

Returns:

the similarity between two given DatabaseObjects according to this similarity function

getInputTypeRestriction

public SimpleTypeInformation<? super NumberVector<?>> getInputTypeRestriction()

Description copied from interface: SimilarityFunction

Get the input data type of the function.

Specified by:

getInputTypeRestriction in interface PrimitiveSimilarityFunction<NumberVector<?>,DoubleDistance>

Specified by:

getInputTypeRestriction in interface SimilarityFunction<NumberVector<?>,DoubleDistance>

Specified by:

getInputTypeRestriction in class AbstractPrimitiveSimilarityFunction<NumberVector<?>,DoubleDistance>