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

Class AbstractVectorSimilarityFunction

java.lang.Object

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

All Implemented Interfaces:

PrimitiveSimilarityFunction<NumberVector>, SimilarityFunction<NumberVector>

Direct Known Subclasses:

Kulczynski2SimilarityFunction, LaplaceKernelFunction, PolynomialKernelFunction, RadialBasisFunctionKernelFunction, RationalQuadraticKernelFunction, SigmoidKernelFunction

public abstract class AbstractVectorSimilarityFunction
extends java.lang.Object
implements PrimitiveSimilarityFunction<NumberVector>

Abstract base class for double-valued primitive similarity functions.

Since:

0.6.0

Author:

Erich Schubert

Constructor Summary

Constructors

Constructor and Description
AbstractVectorSimilarityFunction()

Method Summary

Modifier and Type	Method and Description
SimpleTypeInformation<? super NumberVector>	getInputTypeRestriction() Get the input data type of the function.

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.PrimitiveSimilarityFunction

instantiate, similarity

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

isSymmetric

Constructor Detail

AbstractVectorSimilarityFunction

public AbstractVectorSimilarityFunction()

Method Detail

getInputTypeRestriction

public SimpleTypeInformation<? super NumberVector> getInputTypeRestriction()

Description copied from interface: SimilarityFunction

Get the input data type of the function.

Specified by:

getInputTypeRestriction in interface SimilarityFunction<NumberVector>