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用于實現k均值算法的matlab源代碼，簡單易懂，方便理解。自己可以參考注釋修改源代碼，以便深入的了解該算法的本質。- x1=[0 1 0 1 2 1 2 3 6 7 8 6 7 8 9 7 8 9 8 9];
- x2=[0 0 1 1 1 2 2 2 6 6 6 7 7 7 7 8 8 9 9 9];
- cities = [x1;x2];
- num = size(cities,2);
- m1 = round(rand()*num);
- m2 = round(rand()*num);
- while m1==m2
- m2 = round(rand()*num);
- end
- u1 = cities(:,m1);
- u2 = cities(:,m2);
- u_old = [u1,u2];
- u_new = [u2,u1];
- while u_old ~= u_new
- u_old = u_new ;
- for j=1:num
- dis1 = norm(cities(:,j)-u1);
- dis2 = norm(cities(:,j)-u2);
- if dis1>=dis2 c(j) = 2;
- else c(j) = 1;
- end
- end
- index1 = find(c==1);
- index2 = find(c==2);
- sum1 = sum(cities(:,index1),2);
- sum2 = sum(cities(:,index2),2);
- u1 = sum1/length(index1);
- u2 = sum2/length(index2);
- u_new = [u1,u2];
- end
- hold on,plot(cities(1,index1),cities(2,index1),'*');
- hold on,plot(cities(1,index2),cities(2,index2),'+');
- hold on,plot(u1(1),u1(2),'o',u2(1),u2(2),'o');
- mean = u_new;
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源程序.docx
2019-2-10 15:20 上傳
點擊文件名下載附件
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