<br>Thanks Christopher, but i saw this and even modified it and then tried but couldn't get what I want. It makes cluster of simple generated numbers. I need to provide 2D image or 3D volume so that I can cluster it, finds its centroid and apply PCA on it by removing 'impulse noise'. I tried the following example but doesn't give result (got stuck at 'estimator' stage). You may help me on the code I attached below. Thanks in advance for your cooperation.<div>
<br></div><div><br></div><div>best regards,</div><div><br></div><div>Meklem<br><div><br></div><div><br></div><div><br><div class="gmail_quote">On Mon, Feb 18, 2013 at 9:20 PM, Christopher Mullins <span dir="ltr"><<a href="mailto:christopher.mullins@kitware.com" target="_blank">christopher.mullins@kitware.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Check out the <a href="https://github.com/Kitware/ITK/blob/master/Examples/Statistics/ExpectationMaximizationMixtureModelEstimator.cxx" target="_blank">ExpectationMaximizationMixtureModelEstimator example</a>.</div>
<div class="gmail_extra">
<br><br><div class="gmail_quote"><div><div class="h5">On Mon, Feb 18, 2013 at 4:11 PM, mekonnen lemessa <span dir="ltr"><<a href="mailto:mekonnenlem@gmail.com" target="_blank">mekonnenlem@gmail.com</a>></span> wrote:<br>
</div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5">
Hello friends,<div><br></div><div>I wanted to use ExpectationMaximizationMixtureModelEstimator.cxx of itk for clustering by giving image as input. But I faced problem when trying to use it. Is any body who used this algorithm for image clustering? I hope you will help urgently since I got stuck on it!</div>
<div><br></div><div><br></div><div>cheers,</div><div><br></div><div><br></div><div>meklem</div>
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