Chapter 5 - Kernel methods. Kernel methods are then introduced in chapter 5, which provide new insights and connections between linear, nonlinear, graph, and complex data mining tasks. We briefly highlight the theory behind kernel functions, with the key concept being that a positive semidefinite kernel corresponds to a dot product in some high-dimensional feature space.