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Support Vector Machines is a powerful methodology for solving problems in nonlinear classification a

% MATLAB Interface for LIBSVM, Version 1.2
%
% LIBSVMOPT  Optimize Support Vector Machine with LIBSVM.
% LIBSVMSIM  Simulate Support Vector Machine.
% MEXLIBSVM  Compile LIBSVMOPT and LIBSVMSIM.
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% DEMO1  C Support Vector Classification with LIBSVM.
% DEMO2  Nu Support Vector Classification with LIBSVM.
% DEMO3  One-Class Support Vector Classification with LIBSVM.
% DEMO4  Epsilon Support Vector Regression with LIBSVM.
% DEMO5  Nu Support Vector Regression with LIBSVM.