IKernel Interface |
Namespace: Accord.Statistics.Kernels
The IKernel type exposes the following members.
Name | Description | |
---|---|---|
Distance |
Computes the kernel distance for a kernel function even if it doesn't
implement the IDistance interface. Can be used to check
the proper implementation of the distance function.
(Defined by Tools.) |
In Machine Learning and statistics, a Kernel is a function that returns the value of the dot product between the images of the two arguments.
k(x,y) = ‹S(x),S(y)›
References: