Package elki.similarity.kernel

Class LaplaceKernel

java.lang.Object

elki.similarity.AbstractVectorSimilarity

elki.similarity.kernel.LaplaceKernel

All Implemented Interfaces:

PrimitiveSimilarity<NumberVector>, Similarity<NumberVector>

public class LaplaceKernel
extends AbstractVectorSimilarity

Laplace / exponential radial basis function kernel.

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	LaplaceKernel.Par	Parameterization class.

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor	Description
LaplaceKernel(double sigma)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	similarity(NumberVector o1, NumberVector o2)	Computes the similarity between two given DatabaseObjects according to this similarity function.

Methods inherited from class elki.similarity.AbstractVectorSimilarity

getInputTypeRestriction

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface elki.similarity.PrimitiveSimilarity

instantiate

Methods inherited from interface elki.similarity.Similarity

isSymmetric

Field Detail

mgamma

private final double mgamma

Scaling factor mgamma. (= - 1/sigma)

Constructor Detail

LaplaceKernel

public LaplaceKernel(double sigma)

Constructor.

Parameters:

sigma - Scaling parameter sigma (as in laplace kernel)

Method Detail

similarity

public double similarity(NumberVector o1,
                         NumberVector o2)

Description copied from interface: PrimitiveSimilarity

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

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

Returns:

the similarity between two given DatabaseObjects according to this similarity function