Machine Learning, Kernel, Hilbert Space, Mercer Theorem.
find the pairwise distance in the data set. However, it loses some information like the angle at which the feature is located w.r.t origin. This signifies that the gram matrix is rotation invariant. Positive semi-definite Kernels Let X be a nonempty set. A function k: {X ∗ X} -> R, which gives rise