Explain the below Kmeans code.

2 次查看(过去 30 天)
Sunil
Sunil 2014-4-19
编辑: Sunil 2014-4-19
E = sparse(1:n,label,1,n,k,n); % transform label into indicator matrix
m = X*(E*spdiags(1./sum(E,1)',0,k,k)); % compute m of each cluster
[~,label] = max(bsxfun(@minus,m'*X,dot(m,m,1)'/2),[],1); % assign samples to the
Can you please explain the above code?

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by