Introduction - If you have any usage issues, please Google them yourself
Kernel function is the use of support vector machine to resolve the issue can not be separated from the introduction of a nonlinear transform means. Basic idea is to adoption of non-linear transform, so that after changing the characteristics of the sample space become linearly separable. And the use of linear time-structure optimal hyperplane method of implementation in the feature space for solving the optimal hyperplane.