irisgram.m

RBF神经网络应用于IRIS数据集的例子

a1=FEATURES(1,1:50);
a2=FEATURES(2,1:50);
a3=FEATURES(3,1:50);
a4=FEATURES(4,1:50);
b1=FEATURES(1,51:100);
b2=FEATURES(2,51:100);
b3=FEATURES(3,51:100);
b4=FEATURES(4,51:100);
c1=FEATURES(1,101:150);
c2=FEATURES(2,101:150);
c3=FEATURES(3,101:150);
c4=FEATURES(4,101:150);
[am,ap]=max(a);
[bm,bp]=max(b);
[cm,cp]=max(c);
[dm,dp]=max(d);

figure(1)
hold on
plot(c(1:50),d(1:50),'co');
plot(c(51:100),d(51:100),'rs');
plot(c(101:150),d(101:150),'b^');
legend('Setosa','Versicolor','Virginica',2);
axis([0 8 0 3]);
xlabel('花瓣长度（cm）');
ylabel('花瓣宽度（cm）');
hold off

figure(2)
hold on
plot(a(1:50),b(1:50),'co');
plot(a(51:100),b(51:100),'rs');
plot(a(101:150),b(101:150),'b^');
legend('Setosa','Versicolor','Virginica',2);
xlabel('萼片长度（cm）');
ylabel('萼片宽度（cm）');
hold off

figure(3)
hold on
plot(a(1:50),c(1:50),'co');
plot(a(51:100),c(51:100),'rs');
plot(a(101:150),c(101:150),'b^');
legend('Setosa','Versicolor','Virginica',2);
hold off

figure(4)
hold on
plot(a(1:50),d(1:50),'co');
plot(a(51:100),d(51:100),'rs');
plot(a(101:150),d(101:150),'b^');
legend('Setosa','Versicolor','Virginica',2);
hold off

figure(5)
hold on
plot(b(1:50),c(1:50),'co');
plot(b(51:100),c(51:100),'rs');
plot(b(101:150),c(101:150),'b^');
legend('Setosa','Versicolor','Virginica',2);
hold off

figure(6)
hold on
plot(b(1:50),d(1:50),'co');
plot(b(51:100),d(51:100),'rs');
plot(b(101:150),d(101:150),'b^');
legend('Setosa','Versicolor','Virginica',2);
hold off