function [x, y] = gennonlindata(N, L0, x0, s0, y0);% function [x, y] = gennonlindata(N, L0, x0, s0, y0);%% generate mixture-of-gaussians nonlinear data%%     N: dimension of x vectors%     L0: gaussians' number of points (sums to L)   [C,1] with C = #centers%     x0: gaussians' centers                        [C,N]%     s0: gaussians' standard deviations            [C,1]%     y0: gaussians' labels                         [C,1]%%     x: [L,N]%     y: [L,1] , values in y0, L0 of them each[C,N] = size(x0);L = sum(L0);x = [];y = [];for class = (1:C)    o = ones(L0(class),1);    x = [x; s0(class)*randn(L0(class),N)+o*x0(class,:)];    y = [y; y0(class)*o];endr = randperm(L);x = x(r,:);y = y(r);