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

Class RadialBasisFunctionKernelFunction

java.lang.Object

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

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

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

All Implemented Interfaces:

PrimitiveSimilarityFunction<NumberVector>, SimilarityFunction<NumberVector>

@Alias(value="rbf")
public class RadialBasisFunctionKernelFunction
extends AbstractVectorSimilarityFunction

Gaussian radial basis function kernel (RBF Kernel).

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
private double	gamma Scaling factor gamma. (= - 1/(2sigma^2))

Constructor Summary

Constructors

Constructor and Description
RadialBasisFunctionKernelFunction(double sigma) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	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.AbstractVectorSimilarityFunction

getInputTypeRestriction

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

gamma

private final double gamma

Scaling factor gamma. (= - 1/(2sigma^2))

Constructor Detail

RadialBasisFunctionKernelFunction

public RadialBasisFunctionKernelFunction(double sigma)

Constructor.

Parameters:

sigma - Scaling parameter sigma

Method Detail

similarity

public double 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>

Specified by:

similarity in class AbstractPrimitiveSimilarityFunction<NumberVector>

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

Returns:

the similarity between two given DatabaseObjects according to this similarity function