用matlab代码写一个kmeans聚类算法

Sure, I can help you with that! Here's some MATLAB code for K-means clustering:

function [labels, centroids] = mykmeans(X, k)
% X: n x d data matrix
% k: number of clusters
% labels: n x 1 vector of cluster labels (1 to k)
% centroids: k x d matrix of cluster centers
  
% random initialization of centroids
centroids = X(randperm(size(X,1), k), :);

while true
    % assign each data point to closest centroid
    distance = pdist2(X, centroids);
    [~, labels] = min(distance, [], 2);

    % update centroids
    for j = 1:k
        centroids(j,:) = mean(X(labels == j, :));
    end

    % check convergence
    if centroids == old_centroids
        break;
    end
    
    old_centroids = centroids;
end

Hope it helps! Let me know if you have any more questions or would like any further assistance.