[Insight-users] Fuzzy c-means

[Luis Ibanez]

Hi Edoardo,

You are right, we don't have an implementation of Fuzzy c-means:

http://en.wikipedia.org/wiki/Cluster_analysis#Fuzzy_c-means_clustering

It should be, however, relatively easy to implement it by combining
the existing elements in the Statistics Framework:

                   Insight/Code/Review/Statistics

Notice in particular:

itkDistanceToCentroidMembershipFunction.h
itkMixtureModelComponentBase.h


If you decide to implement this method, we will strongly encourage you
to contribute your code to ITK by submitting it as a technical report to
the Insight Journal.

http://www.itk.org/Wiki/ITK_Procedure_for_Contributing_New_Classes_and_Algorithms


Please let us know if you run into any problems while implementing
this classification method.


     Thanks,


         Luis


-----------------------------------------------
On Fri, Apr 2, 2010 at 12:44 PM,  <edoardo.belletti at alice.it> wrote:
> Hi
> I am actually looking into implementing fuzzy K-means (or c-means)
> clustering technique on ultrasound image in DICOM file format. Because I
> have to classified some pixel of these images.
> I looked in the guidebook and I can see that there is code for ordinary
> K-means clustering, but I can't find anything on Fuzzy K-means (or c-means)
> clustering.
> Is there code available for this technique in ITK?
>
> Thank you
> Edoardo
>
>
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