Error:Empty cluster at iteration

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FIR on 29 Nov 2012
Answered: ishaan on 13 Apr 2014
Finally for the question in
i have found mean and for k means i get error
my code
By this way i have found mean
for i2=1:192
next i tried to do k means
for i2=1:192
I get error
??? Error using ==> kmeans>batchUpdate at 435 Empty cluster created at iteration 1.
Error in ==> kmeans at 336 converged = batchUpdate();
Error in ==> Samp2 at 52 k3(:,:,i2)=kmeans(kll,3);
please assist
  1 Comment
Jan on 29 Nov 2012
After kll=kkk(:,:,i2), the variable k11 is a matrix. Then using mean(k11, 3) does not compute anything, but replies k11. Finally k3 should be the same as kkk and therefore I do not understand what you are doing.

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Answers (2)

Walter Roberson
Walter Roberson on 29 Nov 2012
"empty cluster" can occur by chance (kmeans does random initialization of positions), but more likely is the possibility that your points naturally form fewer than 3 clusters.
Walter Roberson
Walter Roberson on 29 Nov 2012
This current Question is about kmeans. Please move the other topic to an appropriate question.

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ishaan on 13 Apr 2014
I received the above error too.. I am applying kmeas clustering on a Canny's Edge detected image with k param as 2.
I3 = imclose(I2,strel('disk',20));
Imed = medfilt2(rgb2gray(I3));
Ifilt = edge(Imed,'canny');
%I3 = applycform(Ifilt,makecform('srgb2lab'));
%I = double(I3(:,:,2));
I = double(Ifilt(:,2));
szx2 = size(I,1);
szy2 = size(I,2);
I = reshape(I,szx2*szy2,1);
nColors = 2;
%%Image Manipulation Kmeans...............................................
[idx ct] = kmeans(I,nColors);
However i Received the empty cluster error. How to avoid the error. I need the edge detected image as well.


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