?? generate_toydata.m
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function [X,Y]=generate_toydata(n,method)% [X,Y]=generate_toydata(n,method)% Generates toy binary classification problem% n points in class +1 and n points in class -1% method:%% 'moons' : 2 moons % 'swiss' : 2d swiss roll [X,Y]=feval(method,n);function [X,Y]=moons(n)space=2;noise=0.1;r=randn(n,1)*noise+1;theta=randn(n,1)*pi;r1=1.1*r; r2=r;X1=([r1.*cos(theta) abs(r2.*sin(theta))]);Y1=ones(n,1);r=randn(n,1)*noise+1;theta=randn(n,1)*pi+2*pi;r1=1.1*r; r2=r;X2=([r1.*cos(theta)+space*rand -abs(r2.*sin(theta)) + 0.5 ]);Y2=-ones(n,1);X=[X1;X2];Y=[Y1;Y2];v=randperm(2*n);X=X(v,:);Y=Y(v);function [X,Y]=swiss(n);%GENERATE SAMPLED DATA 1 tt = (3*pi/2)*(1+2*rand(1,n)); %height = 21*randn(1,N); X1 = [tt.*cos(tt); tt.*sin(tt)]'; % GENERATE SAMPLED DATA 2 tt = (3*pi/2)*(1+2*rand(1,n)); %height = 21*randn(1,N); X2 = [tt.*cos(tt); tt.*sin(tt)]'; X2=1.6*X2; X=[X1;X2]/25+randn(2*n,2)*0.03; Y=[ones(n,1); -1*ones(n,1)];function [X,Y]=lines(n);var=1;x=1;y=0.5;X1=[randn(n,1)*0.3+x randn(n,1)*0.05+y];Y1=ones(n,1);X2=[randn(n,1)*0.3-x randn(n,1)*0.05-y];Y2=-1*ones(n,1);X=[X1;X2];Y=[Y1;Y2];?? 快捷鍵說明
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