Re: Fuzzy-Clustering

jawahar@iname.com
Fri, 5 Feb 1999 02:12:29 +0100 (MET)

I don't find any reason for you to go for higher degree prototypes for
your classification. Points (FCM) should be sufficient.

Anyway, there are a number of interesting algorithms using lines and
circles as the prototypes.

1. Fuzzy C Varieties (lines) - J. Bezdek
2. Fuzzy C elliptotypes(lines + points) - J. Bezdek
3. Fuzzy C Shells - R. Krishnapuram /R. N. Dave

In case, you require any further information, mail me at
jawahar@cair.res.in

Jawahar

In article <369E3011.6B124DCF@el.ub.es>,
fuzzy-mail@dbai.tuwien.ac.at wrote:
> Hi collegues,
>
> I am working on my PhD in odour recognition. Now I am working with FCM
> to cluster aromas. My data is 3-5 dimensional and the number of clusters
> is 3-6.
> I think the best solution is to change typical point prototypes to use
> different ones as lines and circles in an n-dimensional space.
> Is there someone who can give me a reference for this problem, articles,
> algorithms, software,etc. ?
>
> I would appreciate very much your help.
>
> Regards from Barcelona,
>
> --
> Arturo Ortega Mansilla
>
> Electronic Engineering
> Dept. Electronica
> Universitat de Barcelona
> C/Marti i Franques, 1
> 08028 Barcelona (Spain)
>
> Fax +34 93 4021148
> Tlf +34 93 4029070
> Email ortega@el.ub.es
>
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