Error:Empty cluster at iteration

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FIR
FIR 2012-11-29
回答： ishaan 2014-4-13
Finally for the question in
http://www.mathworks.in/matlabcentral/answers/55028-finding-mean-for-values
i have found mean and for k means i get error
my code
By this way i have found mean
for i2=1:192
kl(:,:,i2)=kkk(:,:,i2);
kll=kkk(:,:,i2);
k3(:,:,i2)=mean(kll,3);
end
next i tried to do k means
for i2=1:192
k4(:,:,i2)=k3(:,:,i2);
k5=k4(:);
k3(:,:,i2)=kmeans(k5,3);
end
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 个评论
Jan
Jan 2012-11-29
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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回答（2 个）

Walter Roberson
Walter Roberson 2012-11-29
"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.
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FIR
FIR 2012-11-29
this does not relates to kmeans...in that i have found mean,,for all
now i want to check which al values are nearby ,at a difference of 5 and for that we have to find mean value
suppose val(:,:,1) has mean value of 145.23 and val(:,:,56) has mean of 149.10and val(:,:,103) has mean of 143.05 for all these three we have to find the mean,and so on
Walter Roberson
Walter Roberson 2012-11-29
This current Question is about kmeans. Please move the other topic to an appropriate question.

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ishaan
ishaan 2014-4-13
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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