function label = litekmeans(X, k)
n = size(X,2);
last = 0;
label = ceil(k*rand(1,n)); % random initialization
while any(label ~= last)
[~,~,label] = unique(label); % remove empty clusters
E = sparse(1:n,label,1,n,k,n); % transform label into indicator matrix
center = X*(E*spdiags(1./sum(E,1)',0,k,k)); % compute center of each cluster
last = label;
[~,label] = max(bsxfun(@minus,center'*X,0.5*sum(center.^2,1)')); % assign samples to the nearest centers
I need to rewrite that with out using the 'unique' and with out using the 'spdiags'..
Actually I can use only build in functions.
I am quite new in matlab and i can't understand what these 2 functions, that i need to remove, doing there...
Can anyone explain me how this 2 functions work in the litekmeans function. So I will be able to implement my own code to do what they do...?
Or any other help is welcome...
"nonyt" wrote in message <firstname.lastname@example.org>...
> i have the following function :
> function label = litekmeans(X, k)
> n = size(X,2);
> last = 0;
> label = ceil(k*rand(1,n)); % random initialization
> while any(label ~= last)
> [~,~,label] = unique(label); % remove empty clusters
> E = sparse(1:n,label,1,n,k,n); % transform label into indicator matrix
> center = X*(E*spdiags(1./sum(E,1)',0,k,k)); % compute center of each cluster
> last = label;
> [~,label] = max(bsxfun(@minus,center'*X,0.5*sum(center.^2,1)')); % assign samples to the nearest centers
> I need to rewrite that with out using the 'unique' and with out using the 'spdiags'..
> Actually I can use only build in functions.
> I am quite new in matlab and i can't understand what these 2 functions, that i need to remove, doing there...
> Can anyone explain me how this 2 functions work in the litekmeans function. So I will be able to implement my own code to do what they do...?
> Or any other help is welcome...
Both unique and spdiags are built in function. Try typing doc unique and doc spdiags. You will see some documentation on what these functions do.
Although is possible to write you own code in order to replace them I think you should pay a great deal of attention to spdiags. There are more than 1 way to implement sparse matrices and you should be sure you are using the same as Matlab.
May I ask why you want to write your own code for these functions ? They are not part of any toolbox ...
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