k means clustering, error

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Tomas
Tomas 2014-3-15
评论： Image Analyst 2014-3-16
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.

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回答（2 个）

Walter Roberson
Walter Roberson 2014-3-15
Look at the documentation page, at the 'emptyaction' option.
Image Analyst
Image Analyst 2014-3-15
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?
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Tomas
Tomas 2014-3-15
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 2014-3-16
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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