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

Class LaplaceKernelFunction

java.lang.Object

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

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

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

All Implemented Interfaces:

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

public class LaplaceKernelFunction
extends AbstractVectorDoubleSimilarityFunction

Provides the laplace / exponential radial basis function kernel.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	LaplaceKernelFunction.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private double	mgamma Scaling factor mgamma. (= - 1/sigma)

Constructor Summary

Constructors

Constructor and Description
LaplaceKernelFunction(double sigma) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	doubleSimilarity(NumberVector<?> o1, NumberVector<?> o2) Computes the similarity between two given Objects according to this similarity function.

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

getDistanceFactory, getInputTypeRestriction, similarity

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.SimilarityFunction

instantiate, isSymmetric

Field Detail

mgamma

private final double mgamma

Scaling factor mgamma. (= - 1/sigma)

Constructor Detail

LaplaceKernelFunction

public LaplaceKernelFunction(double sigma)

Constructor.

Parameters:

sigma - Scaling parameter sigma (as in laplace kernel)

Method Detail

doubleSimilarity

public double doubleSimilarity(NumberVector<?> o1,
                      NumberVector<?> o2)

Description copied from interface: PrimitiveDoubleSimilarityFunction

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

Parameters:

o1 - first Object

o2 - second Object

Returns:

the similarity between two given Objects according to this similarity function