RadialBasisFunctionKernel (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.similarity.AbstractVectorSimilarity
- - elki.similarity.kernel.RadialBasisFunctionKernel

All Implemented Interfaces:

PrimitiveSimilarity<NumberVector>, Similarity<NumberVector>
```
@Priority(200)
@Alias("rbf")
public class RadialBasisFunctionKernel
extends AbstractVectorSimilarity
```
Gaussian radial basis function kernel (RBF Kernel).

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class RadialBasisFunctionKernel.Par
Parameterization class.

Field Summary

Fields
Modifier and Type Field Description

private double mgamma
Scaling factor mgamma = -1/(2 sigma^2).

Constructor Summary

Constructors
Constructor Description

RadialBasisFunctionKernel(double gamma)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
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/(2 sigma^2).
- Constructor Detail
  - RadialBasisFunctionKernel
```
public RadialBasisFunctionKernel(double gamma)
```
    Constructor.
    
    Parameters:
    
    gamma - Scaling parameter gamma
- 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