be.ac.ulb.mlg.utils.measure
Interface Kernel

All Known Implementing Classes:

GaussianKernel

public interface Kernel

It is a generic Kernel which can be setup by a measure with the data vector

Method Summary

double	ker(double x, double y) Return the kernel value between two values (generate by kernel)
void	setup(double[] data, boolean hasMissing) Setup the Kernel for a specific vector

Method Detail

setup

void setup(double[] data,
           boolean hasMissing)

Setup the Kernel for a specific vector

Parameters:

data - The specific vector

hasMissing - true if the specific vector contains missing value(s)

ker

double ker(double x,
           double y)

Return the kernel value between two values (generate by kernel)

Parameters:

x - The first value

y - The second value

Returns:

The difference between x,y according to the kernel