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先贴代码:
data = rand(100,2);
[center,U,obj_fcn] = fcm(data,2);
plot(data(:,1), data(:,2),‘o‘);
hold on;
maxU = max(U);
% Find the data points with highest grade of membership in cluster 1
index1 = find(U(1,:) == maxU);
% Find the data points with highest grade of membership in cluster 2
index2 = find(U(2,:) == maxU); line(data(index1,1),data(index1,2),‘marker‘,‘*‘,‘color‘,‘g‘);
line(data(index2,1),data(index2,2),‘marker‘,‘*‘,‘color‘,‘r‘);
Plot the cluster centers
plot([center([1 2],1)],[center([1 2],2)],‘*‘,‘color‘,‘k‘)
hold off;
这是help FCM函数得到的例子。
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原文地址:http://www.cnblogs.com/natalie/p/4495673.html