Kernel

##Radial basis function kernel

Radial basis function kernel or called RBF kernel is always being used in SVM classification. The RBF kernel on 2 features is defined as:

$K(x,x^,) = exp(\frac{||x-x^,||^2}{2\sigma^2})$

Where $x$ and $x^,$ are two features, $||x-x^,||^2$ is the Euclidean Distance between these 2 features, $\sigma$ is the free parameter