Discriminant kernels based support vector machine

Recently the kernel discriminant analysis (KDA) has been successfully applied in many applications. KDA is one of the nonlinear extensions of Linear Discriminant Analysis (LDA). But the kernel function is usually defined a priori and it is not known what the optimum kernel function for nonlinear discriminant analysis is.

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