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

Class RadialBasisFunctionKernelFunction

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.RadialBasisFunctionKernelFunction

All Implemented Interfaces:

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

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

Provides the Gaussian radial basis function kernel (RBF Kernel).

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	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

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

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