k means clustering, error

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Tomas
Tomas on 15 Mar 2014
Commented: Image Analyst on 16 Mar 2014
im = imread('hestain.png');
im=rgb2gray(im) //if you only want grayscale intensities
[idx centroids]=kmeans(double(im(:)),4);
??? Error using ==> kmeans>batchUpdate at 436
Empty cluster created at iteration 1.
Error in ==> kmeans at 337
converged = batchUpdate();
Error in ==> Untitled2 at 5
[idx centroids]=kmeans(double(im(:)),4);
Does anyone help ?
Thanks.

Answers (2)

Walter Roberson
Walter Roberson on 15 Mar 2014
Look at the documentation page, at the 'emptyaction' option.

Image Analyst
Image Analyst on 15 Mar 2014
Evidently you've adapted the demo at this web page to your image incorrectly. You don't have clusters because you don't have a second axis. You just passed in a 1D vector. What is the other axis that you think you have that forms clusters?
  6 Comments
Tomas
Tomas on 15 Mar 2014
ok, Thank you for your time and help.
I have to use clustering methods.
My graduation theses is about cluster analysis.
Image Analyst
Image Analyst on 16 Mar 2014
Then you must know more about it than me. So again I ask you what are the two measures, what are the two axes that something is going to be plotted against, if you're not going to use the locations (rows, columns) like I derived for you? And if you do use those, then there's no need to classify because the classification was done first in order to get the coordinates.

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