Thanks to Ingunn Berget, Nina Bullen and Jin Park who replied
to my question about more recent articles in the fuzzy clustering
topic.
Here is a summary of the references :
On a class of fuzzy c-numbers clustering procedures for fuzzy data
By Miin-Shen, Yang and Cheng-Hsiu, Ko
Fuzzy sets and systems, Vol 84, NO.1(Nov 25, 1996) pp.49-60
Bezdek, J.C., Coray C., Gunderson R. and Watson, J., Detection and
characterization of cluster substructure I. Linear structure: Fuzzy
c-lines. SIAM J. Appl. Math.,, 1981. 40(2): p. 339-357.
Bezdek, J.C., Pattern recognition with fuzzy objective function
algorithms. advanced applications in pattern recognition, ed. M.
Nadler. 1981. 239.
Krishnapuram, R.a.K., James M., A possibilistic approach to
clustering. IEEE transactions on fuzzy systems, 1993. 1(2): p. 98-110.
Krishnapuram, R.a.K., James M., The possibilistic C-means algorithm:
Insights and recommendations. IEEE transactions on fuzzy systems,
1996. 4(3): p. 385-396.
Marsili-Libelli Stefano, M.A., Adaptive fuzzy pattern recognition in
the anaerobic digestion process. Pattern recognition letters, 1995. 17
: p. 651-659.
Podani, J., comparison of fuzzy classifications. coenoses, 1990. 5(1):
p. 17-21.
Rousseeuw, P.J., Discussion: Fuzzy clustering at the intersection.
Tecnometrics, 1995. 37(3).
Rousseeuw Peter J., T.E., Kaufman L., Fuzzy clustering with high
contrast. Journal of computational and applied mathematics, 1995. 64:
p. 81-90.
Rousseeuw PeterJ., K.L., Trauwaert, Fuzzy clustering using scatter
matrices. Computational statistics and data analysis, 1996. 23: p.
135-151.
Trauwaert E., K.L., Rousseeuw P., fuzzy clustering algorithms based on
the maximumm likelihood principle. fuzzy sets and systems, 1991. 42:
p. 213-227.
Tsua Koji, M.M., Ikeda Katsuo, Extracting straight lines by sequential
fuzzy clustering. pattern recognition letters, 1996. 17: p. 643-649.
Witold, P., Conditional fuzzy c-means. Pattern recognition letters,
1996. 17: p. 625-631.
Harris, Thomas R., Stoddard, Shawn W., Bezdek, James C. (1993)
Application of fuzzy set clustering for regional typologies, in the
journal Growth and Change, Vol.24(2), pp155-165.
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Aziz Abdelaziz FARAJ
AI & Statistics, Div. Computer Science and Applied Mathematics, IFP
Institut Francais du Petrole
1&4 Avenue de Bois-Preau
92852 Rueil-Malmaison cedex, France
tel. (33) (0)1 47 52 68 48 fax. (33) (0)1 47 52 70 22
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