Package elki.similarity.kernel

Class LinearKernel

java.lang.Object

elki.similarity.AbstractVectorSimilarity

elki.similarity.kernel.PolynomialKernel

elki.similarity.kernel.LinearKernel

All Implemented Interfaces:

Distance<NumberVector>, PrimitiveDistance<NumberVector>, PrimitiveSimilarity<NumberVector>, Similarity<NumberVector>

@Priority(200)
public class LinearKernel
extends PolynomialKernel

Linear Kernel function that computes a similarity between the two feature vectors x and y defined by \(x^T\cdot y\).

Note: this is effectively equivalent to using EuclideanDistance

Since:

0.1

Author:

Simon Paradies

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field	Description
static LinearKernel	STATIC	Static instance.

Fields inherited from class elki.similarity.kernel.PolynomialKernel

DEFAULT_DEGREE

Constructor Summary

Constructors

Constructor	Description
LinearKernel()	Deprecated.

Method Summary

Modifier and Type	Method	Description
double	distance(NumberVector fv1, NumberVector fv2)	Computes the distance between two given DatabaseObjects according to this distance function.
double	similarity(NumberVector o1, NumberVector o2)	Computes the similarity between two given DatabaseObjects according to this similarity function.

Methods inherited from class elki.similarity.kernel.PolynomialKernel

instantiate, isMetric, isSymmetric

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.distance.Distance

isSquared

Methods inherited from interface elki.distance.PrimitiveDistance

getInputTypeRestriction

Field Detail

STATIC

public static final LinearKernel STATIC

Static instance.

Constructor Detail

LinearKernel

@Deprecated
public LinearKernel()

Deprecated.

Linear kernel. Use static instance STATIC!

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.

Specified by:

similarity in interface PrimitiveSimilarity<NumberVector>

Overrides:

similarity in class PolynomialKernel

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

Returns:

the similarity between two given DatabaseObjects according to this similarity function

distance

public double distance(NumberVector fv1,
                       NumberVector fv2)

Description copied from interface: PrimitiveDistance

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

Specified by:

distance in interface PrimitiveDistance<NumberVector>

Overrides:

distance in class PolynomialKernel

Parameters:

fv1 - first DatabaseObject

fv2 - second DatabaseObject

Returns:

the distance between two given DatabaseObjects according to this distance function