我正在尝试使用kmeans在matlab下实现一个id我有一个小问题我想重新计算新集群的质心我试图从包matlab中获取kmeans.m的代码来获取函数我得到了这个: 的 %%%%%%%%%%%%%%%%%%%%%
function [centroids, counts] = gcentroids(X, index, clusts, dist)
%GCENTROIDS Centroids and counts stratified by group.
p = size(X,1);
num = length(clusts);
centroids = NaN(p,num,'like',X);
counts = zeros(1,num,'like',X);
for i = 1:num
members = (index == clusts(i));
if any(members)
counts(i) = sum(members);
switch dist
case {'sqeuclidean','cosine','correlation'}
centroids(:,i) = sum(X(:,members),2) / counts(i);
end
end
end
end