SVM is mainly for the analysis of linear separable cases. Linearly indivisible cases are transformed into high dimensional feature spaces linearly by using non-linear mapping algorithm to linearly indivisible samples of low-dimensional input space, so that high-dimensional feature space It is possible to linearly analyze the nonlinear characteristics of the samples using a linear algorithm.

Support Vector Machine.R

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