edu.ucla.sspace.similarity

Class GaussianKernel

java.lang.Object

edu.ucla.sspace.similarity.AbstractSymmetricSimilarityFunction

edu.ucla.sspace.similarity.GaussianKernel

All Implemented Interfaces:

SimilarityFunction

public class GaussianKernel
extends AbstractSymmetricSimilarityFunction

Returns the Gaussing kernel weighting of two vectors using a parameter to weight the distance between the two vectors. setParams(double...) takes in one double argument which determines the exponent in the gaussian function.

This metric is symmetric.

Author:

Keith Stevens

Constructor Summary

Constructors

Constructor and Description
GaussianKernel()

Method Summary

Methods

Modifier and Type	Method and Description
void	setParams(double... params) Sets the exponent weight of the gaussian kernel.
double	sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	sim(IntegerVector v1, IntegerVector v2) Returns the similarity between v1 and v2.
double	sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.

Methods inherited from class edu.ucla.sspace.similarity.AbstractSymmetricSimilarityFunction

isSymmetric

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussianKernel

public GaussianKernel()

Method Detail

setParams

public void setParams(double... params)

Sets the exponent weight of the gaussian kernel.

Specified by:

setParams in interface SimilarityFunction

Overrides:

setParams in class AbstractSymmetricSimilarityFunction

sim

public double sim(DoubleVector v1,
         DoubleVector v2)

Returns the similarity between v1 and v2. If SimilarityFunction.isSymmetric() is false, the ordering does matter.

sim

public double sim(IntegerVector v1,
         IntegerVector v2)

Returns the similarity between v1 and v2. If SimilarityFunction.isSymmetric() is false, the ordering does matter.

sim

public double sim(Vector v1,
         Vector v2)

Returns the similarity between v1 and v2. If SimilarityFunction.isSymmetric() is false, the ordering does matter.