% Demonstration of multi-class SVM learning.% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz% Modifications% 11-Nov-2002, V.Franc% loads datadata = load('multisvm1');% setting SVM parametersker='rbf';arg=1;C=inf;% learning SVM classifier[model]=m2osmo( data.X, data.I, ker, arg, C)%[model]=oaasmo( data.X, data.I, ker, arg, C)% plots decision boundary of found SVMfigure;poaasvm(model);