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Topic: GMM using fcm - gmdistribution
Replies: 2   Last Post: Oct 26, 2010 12:58 PM

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Alfian Abdul Halin

Posts: 25
Registered: 7/20/09
Re: GMM using fcm - gmdistribution
Posted: Oct 26, 2010 12:58 PM
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Thanks Peter. Ure explanation helps a lot in clearing some misconceptions :) Have a good one!

Peter Perkins <> wrote in message <ia6qnh$qvt$1@fred.mathworks.com>...
> On 10/26/2010 2:50 AM, Alfian Abdul Halin wrote:
> > I understand that to generate k-components GMMs using the
> > gmdistribution.fit
> > uses the k-means algorithm for cluster centroid intialization? (i was
> > told this by a friend).

>
> Your friend is incorrect. As described in the documentation, the
> default method that GMDISTRIBUTION.FIT uses to choose initial values for
> the component means is a random sample from the data. You can specify
> one of three methods, however.
>
>

> > Is it possible to change that to Fuzzy C Means?
> >
> > I ask this because, for my data, using FCM seems to generate centroids
> > that make more sense

>
> I'm not sure that the initial locations in this case make all that much
> difference. The E-M algorithm is pretty robust with repect to initial
> values, and these are _initial_ values, not the final estimates. But
> you can specify starting values as one of the inputs to FIT. See the
> documentation.
>
> Hope this helps.




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