data.m

matlab支持向量机程序SVM_SteveGu

clc;

dim_x=2;
sample_nmub_max=15;
sample_numb_min=10;
class_numb=9;

class_area=[0 0;
            3 0;
            0 3;
            3 3;
            6 0;
            0 6;
            6 6;
            3 6;
            6 3]
                  

for i=1:class_numb
    sample_numb(i)=floor(rand()*sample_numb_min+0.5)+sample_nmub_max-sample_numb_min;
    for j=1:dim_x
        %class_area(i,j)=floor(rand()*20)*3;  
        class_area(i,dim_x+j)=rand()*3;
    end        
end

for i=1:class_numb
    for j=1:sample_numb(i)
        for k=1:dim_x
            X(j,k,i)=rand()*class_area(i,dim_x+k)+class_area(i,k);
        end
    end
end

hold on
for i=1:class_numb
    gscatter(X(1:sample_numb(i),1,i), X(1:sample_numb(i),2,i))
end
hold off