Four clusters of input data

Define 4 clusters of input data

K = 200; % offset of classes q = 1.1; % define 4 clusters of input data P = [rand(1,K)-q rand(1,K)+q rand(1,K)+q rand(1,K)-q; rand(1,K)+q rand(1,K)+q rand(1,K)-q rand(1,K)-q]; % plot clusters plot(P(1,:),P(2,:),'g.') hold on grid on