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 ort...@el.ub.es

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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
jawa...@cair.res.in

Jawahar

In article <369E3011.6B124...@el.ub.es>,

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I suggest you look at "Information Theory and Esthetic Perception"
by Abraham Moles for background on the fundamental sensory problem.

For a primitive start on displaying circles in color with labels, there
is the famous "sillyballs.c" program by Bo3b Johnson, circa 1988.  I just
toyed with it as part of the Metrowerks C compiler package.

Cheers,
Rob Lake
Environmental Modeling Inc.
r...@po.cwru.edu

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