kmeans聚类算法matlab代码实例

以下是一个使用Matlab实现k-means聚类算法的代码示例：

[b] = xlsread('aggregate.xlsx',1,'A1:c788');
x = b(:,1);
y = b(:,2);
data = [x(1:7,1),y(1:7,1)];

dist = zeros(1,7);
for k = 1:300
    c = zeros(788,1);
    sum = zeros(7,3);
    for i = 1:788
        for j = 1:7
            dist(1,j) = sqrt((x(i,1)-data(j,1))^2 + (y(i,1)-data(j,2))^2);
        end
        [mi,index] = min(dist);
        c(i,1) = index;
        sum(c(i,1),1) = sum(c(i,1),1) + x(i);
        sum(c(i,1),2) = sum(c(i,1),2) + y(i);
        sum(c(i,1),3) = sum(c(i,1),3) + 1;
    end
    for m = 1:7
        data(m,1) = sum(m,1) / sum(m,3);
        data(m,2) = sum(m,2) / sum(m,3);
    end
end

for i = 1:788
    rand('seed',c(i,1));
    color = rand(1,3);
    plot(x(i,1),y(i,1),'*','color',color);
    hold on;
end