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Nonlinear multiclass discriminant analysis
2003
IEEE Signal Processing Letters
An alternative nonlinear multiclass discriminant algorithm is presented. This algorithm is based on the use of kernel functions and is designed to optimize a general linear discriminant analysis criterion based on scatter matrices. By reformulating these matrices in a specific form, a straightforward derivation allows the kernel function to be introduced in a simple and direct way. Moreover, we propose a method to determine the value of the regularization parameter , based on this derivation.
doi:10.1109/lsp.2003.813680
fatcat:4kx7go2ysfdkroti2nhylcf2au