Approximate Clustering Via the Mountain Method

IEEE Transactions on Systems, Man and Cybernetics

Volumn 24, Issue 8, 1994, Pages 1279-1284

  Yager, Ronald R ^a   Filev, Dimitar P ^a  

^a MACHINE INTELLIGENCE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL METHODS; ESTIMATION; FUNCTION EVALUATION;

APPROXIMATE CLUSTERING TECHNIQUE; FUZZY C-MEANS (FUZZY ISODATA);

FUZZY SETS;

EID: 0028482884     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/21.299710     Document Type: Article

References (7)

1. J. C. Bezdek and S. K. Pal, “Fuzzy models for pattern recognition,” IEEE Publications: New York, 1992.
2. J. C. Bezdek, “Numerical taxonomy with fuzzy sets,” Journal of Mathematical Biology 1, 57–71, 1974.
3. J. Bezdek, “Pattern recognition with fuzzy objective function algorithms,” Plenum: NY, 1981.
4. A. Kandel, Fuzzy Techniques in Pattern Recognition, Wiley-Interscience: New York, 1982.
5. J. Bezdek, R. Hathaway, M. Sabin and W. Tucker, “Covergence theory for Fuzzy C-Means: Counterexamples and repairs,” IEEE Trans. on Systems, Man & Cybernetics, vol. SMC-17, 873–877, 1987.
6. T. Kohonen, Self-Organization and Associative Memory, Springer-Verlag: Verlag: Berlin, 1984.
7. J. C. Dunn, “A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters,” Journal of Cybernetics 3, 32–57, 1973.