1. BEZDEK, J. (1973), “Fuzzy Mathematics in Pattern Classification,” Ph.D. dissertation, Cornell University, Ithaca, New York.
2. BEZDEK, J. (1980), “A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms,”Institute of Electrical and Electronic Engineers Transactions on Pattern Analysis and Machine Intelligence, 2, 1–8.
3. BEZDEK, J. (1981),Pattern Recognition with Fuzzy Objective Function Algorithms, New York: Plenum Press.
4. BEZDEK, J., DAVENPORT, J., HATHAWAY, R., and GLYNN, T. (1985), “A Comparison of the Fuzzy c-Means and EM Algorithms on Mixture Distributions with Different Levels of Component Overlapping,” inThe Proceedings of the 1985 IEEE Workshop on Languages for Automation: Cognitive Aspects in Information Processing, ed. S. K. Chang, Silver Spring, Maryland: Institute of Electrical and Electronic Engineers Computer Society Press, 98–102.
5. BEZDEK, J., HATHAWAY, R., HOWARD, R., WILSON, C., and WINDHAM, M. (1987), “Local Convergence Analysis of a Grouped Variable Version of Coordinate Descent,”Journal of Optimization Theory and Applications, 54, 471–477.