sv.asv

matlab支持向量机程序SVM_SteveGu

function  [p0]=sv(X,Y)
% 求支持向量
%epsilon = svtol(C);
 % Compute the number of Support Vectors
   [alpha,b] = trainlssvm({X,Y,'c',3,[],'lin_kernel'});  
    svi = find( alpha > epsilon);
    nsv = length(svi);
    fprintf('Support Vectors : %d (%3.1f%%)\n',nsv,100*nsv/n);