Fuzzy clustering by quadratic regularization

1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence

Volumn 2, Issue , 1998, Pages 1394-1399

  Miyamoto, S ^a   Umayahara, K ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; PIECEWISE LINEAR TECHNIQUES;

FUZZY CLUSTERING; QUADRATIC REGULARIZATION;

FUZZY SETS;

EID: 0031640969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.1998.686323     Document Type: Conference Paper

References (6)

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2. J. C. Dunn, A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters, J. of Cybernetics, Vol. 3, pp. 3257, 1974.
3. J. M. Keller, M. R. Gray, and J. A. Givens, Jr., A fuzzy k - nearest neighbor algorithm, IEEE Trans., on Syst., Man, and Cybern., Vol. 15, pp. 580-585, 1985.
4. R.-P. Li and M. Mukaidono, A maximum entropy approach to fuzzy clustering, Proc. of the 4th IEEE Intern. Conf. on Fuzzy Systems (FUZZ-IEEE/IFES'95), Yokohama, Japan, March 20-24, 1995, pp. 2227-2232.
5. S. Miyamoto and M. Mukaidono, Fuzzy c-means as a regularization and maximum entropy approach, Proc. of the 7th International Fuzzy Systems Association World Congress (IFSA '97), Prague, Chech, June 25-30, 1997, Vol. 11, pp. 8692.
6. A. N. Tihoriov, Solutions of incorrectly formulated problems and the regularization method, Dokl. Akad. Nauk. SSSR, Vol. 151, pp. 1035-1038, 1963.