support vector machine has several kernel functions: we choose four o them for you:

1- normalised polynomial kernel (NP)

2- polynomial kernel (PK)

3- RBF kernel

4- PUK kernel

explain each one of them ( how they work in data classification).

NOTE. please, anyone, answer this question? Take into consideration each kernel to be explained in front of its name by points (1,2,3,4). We do not want a general explanation but we want it to be clear in the four points.