fr.lip6.kernel
Class GaussChi1<T extends MLVector<?>>

java.lang.Object
  fr.lip6.kernel.Kernel<T>
      fr.lip6.kernel.GaussChi1<T>

Type Parameters:

T -

All Implemented Interfaces:

java.io.Serializable

public class GaussChi1<T extends MLVector<?>>
extends Kernel<T>

Gaussian kernel using "Chi 1" distance :
k(x,y) = exp(d(x,y)), with d Chi1 distance. The Chi1 distance is similar to a Chi square distance, but with Math.abs() instead of Math.pow().

Author:

dpicard

See Also:

Serialized Form

Constructor Summary

GaussChi1()

Method Summary

double	valueOf(T t1) kernel similarity to zero
double	valueOf(T t1, T t2) compute the kernel similarity between two element of input space

Methods inherited from class fr.lip6.kernel.Kernel

NormalizedValueOf

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussChi1

public GaussChi1()

Method Detail

valueOf

public double valueOf(T t1)

Description copied from class: Kernel

kernel similarity to zero

Specified by:

valueOf in class Kernel<T extends MLVector<?>>

Parameters:

t1 - the element to compute the similarity to zero

valueOf

public double valueOf(T t1,
                      T t2)

Description copied from class: Kernel

compute the kernel similarity between two element of input space

Specified by:

valueOf in class Kernel<T extends MLVector<?>>

Parameters:

t1 - first element

t2 - second element

Returns:

the kernel value