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# Error:Empty cluster at iteration

Asked by FIR on 29 Nov 2012

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

`    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);

## 1 Comment

Jan Simon 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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Answer by 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 on 29 Nov 2012

What does "nearby" mean in this context. What does "around 5" mean in this context? How does this relate to using kmeans() ?

FIR on 29 Nov 2012

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 on 29 Nov 2012

This current Question is about kmeans. Please move the other topic to an appropriate question.