Re: On Fuzzy Clustering

Alireza (
Tue, 4 Jun 1996 01:28:27 +0200

A while ago i create a message in regard of fuzzy clustering and pattern
recognition. people has sent me the following information regarding the
above topic. I am sending a summary of what i have received this far.
Here, I would like to thank anyone who has sent or is planning
to send me any information on the above topic.
with regards
Logic is a systematic method of coming to the wrong conclusion
with confidence.
Ryerson Polytechnic University
Department Of Mechanical Engineering

Begining of the file
Subject: Fuzzy+pattern_recognition

The best source of information into this area are (from my point of view) the

Fuzzy Models for Pattern Recognition. Methods that search for structures in data.
James C. Bezdek and Sankar K. Pal. 1992.
IEEE Press.ISBN 0-7803-0422-5.

A collection of papers since 1965, with the clasics in FL & Pattern recognition.

Fuzzy techniques in patter recognition.
Abraham Kandel. 1982. john wiley & sons.
ISBN 0-471-09136-7.

mathematical, but very good.

Pattern recognition with fuzzy objective function algorithms
James C. Bezdek. Plenum press, 1981.

The heart of the whole thing.

Hope it helps,

greetings from britain.

Subject: Re: Clustering pattern recog


I have done some research on pattern classification, clustering and pattern
recognition using neuro-fuzzy systems. The following references may be helpful
to you:

[1] Bezdek J. C. and Pal, S. K., Fuzzy Models For Pattern
Recognition, IEEE Press, 1992.
[2] Cai, Y. and Kwan, H. K., "A fuzzy neural classifier for
pattern classification," in Proceedings of International
Symposium on Circuits and Systems, Chicago, May 3-6,
1993, pp. 2367-2370.
[3] Cai, Y. and Kwan, H. K., "A fuzzy inference network for
classification," in the Proceeding of International
Conference on Acoustics, Speech, and Signal Processing,
1995, Detroit, Michigan, U.S.A., May 8-12, 1995, Vol.V, pp.3499-3502.
[4] Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds,
J. H., and Rosen, D. B., "Fuzzy ARTMAP: a neural network
architecture for incremental supervised learning of
analog multidimensional maps," IEEE Transactions on
Neural Networks, Vol. 3, No. 5, September, 1993, pp. 698-713.
[5] Gath, A. and Geva, A. B., "Unsupervised optimal fuzzy
clustering," IEEE Transaction on Pattern Analysis and
Machine Intelligence, Vol. 11, No. 7, 1989, pp. 773-781.
[6] Kandel, A., Fuzzy Techniques in Pattern Recognition, New
York, John Wiley and Sons, 1982.
[7] Kwan, H. K. and Cai, Y. "A novel fuzzy neural network and
its application to pattern recognition", IEEE Transactions on Fuzzy
Systems, Vol. 2, No. 3, August, 1994, pp. 185-193.
[8] Simpson, P. K., "Fuzzy min-max neural networks -- part 1:
Classification," IEEE Transactions on Neural Networks,
Vol. 3, No. 5, September, 1993, pp. 776-786.
[9] Simpson, P. K., "Fuzzy min-max neural networks -- part2:
Clustering," IEEE Transactions on Fuzzy Systems, Vol. 1,
No. 1, 1993, pp. 32-45.
[10] Siy, P. and Chen, C. S., "Fuzzy logic for handwritten
Numerical character recognition," IEEE Transactions on
Systems, Man, and Cybernetics, November, 1974, pp. 570- 575.
[11] Wang, L. X. and Mendel, J. M., "A fuzzy approach to hand-
written rotation-invariant character recognition," in
Proceedings of 1992 ICASSP, San Francisco, CA, March 23-26, 1992.

Good luck!!

Lynn (Yaling) Cai

Subject: Re: Clustering pattern recognition?


we use our product DatEngine for this peurposes you are looking for.
Please have a look at our web page or send me your address to forward
you deatiled material.



Address for correspondence:
Karl Lieven
MIT GmbH - ELITE Foundation
Promenade 9, 52076 Aachen, Germany
Phone: +49-2408-945810
Fax: +49-2408-94582

Dear Alireza:
If you are intersted in supervized fuzzy pattern recognition you may try
my algorithm described in the proceedings of ISUMA-NAFIPS'95.
Sincerely yours, Boris Shukhat

Subject: fuzzy clustering

This is a bibliography only. I haven't yet read any of the
material. In fact, I don't even know if it's all in English.

Bezdek, J. C., Tsao, E.C.-K., and Pal, N.R., "Fuzzy Kohonen
Clustering Networks," FUZZ-IEEE Conference (1992), pp. 1035-1043.

Kandel, A., Fuzzy Techniques in Pattern Recongition, New York

Watada, V., "Methods for Fuzzy Classification," Japanese Journal of
Fuzzy Theory and Systems 4 (1992), pp. 149-163

Zimmerman, H.-J., Fuzzy Set Theory and Its Applications, Second
Revised Edition (1991), Boston, Dordrecht, London, ISBN

The reason I haven't followed up on any of these as yet is I've
found another technique for clustering that I think may work
better... but I'm just getting into it:

Fogel, D., Evolutionary Computation (1995), IEEE Press, ISBN

Briefly, Evolutionary Computation mimics evolution by "survival of
the fittest" solution. Better solutions survive and generate
mutated offspring. Unlike genetic programming, EC focuses on the
behavior of the entire solution as opposed to individual "genes."
Offspring do not require two parents.

Unfortunately, I'm not very far along either path (fuzzy or
evolution) so I can't recommend one over the other, but the
advantage I see to evolution is no prior knowledge of the clusters
(ie: size, membership, number of clusters, et al.) is necessary.



End of the file.