[1] J. C. Bezdek and R. J. Hathaway, Optimization of fuzzy clustering criteria using genetic algorithms,
Proceedings of the IEEE Conf. on Evolutionary Computation, Orlando, 2 (1994), 589-594.
[2] J. C. Bezdek, Cluster validity with fuzzy sets, Journal of Cybernetics, 3 (1974), 58-72.
[3] J. C. Bezdek, Pattern recognition with fuzzy objective function algorithms, New York, 1981.
[4] C. Y. Chen and F. Ye, Particle swarm optimization and its application to clustering analysis,
Proceedings of the Int. Conf. on Networking, Sensing and Control, Taipei: Taiwan, 2004, 789-794.
[5] M. Dorigo and V. Maniezzo, Ant system: Optimization by a colony of cooperating agents, IEEE
Transactions on Systems, Man, and Cybernetics B, 26 (1) (1996), 29-41.
[6] J. C. Dunn, Fuzzy relative of the ISODATA process and its use in detecting compact well-separated
clusters, Journal of Cybernetics, 3 (1974), 32-57.
[7] R.C. Eberhart and Y. H. Shi, Evolving artificial neural networks, Proceedings of the Int. Conf.
on Neural Networks and Brain, Beijing: P. R. China, Publishing House of Electronics Industry, PL5-
PL13, 1998.
[8] T. Gu and B. Ddubuissonb, Similarity of classes and fuzzy clustering, Fuzzy Sets and Systems, 34
(1990), 213-221.
[9] J. Handl, J. Knowles and M. Dorigo, Strategies for the increased robustness of ant–based clustering,
in: Engineering self-organizing systems, Heidelberg, Germany: Springer-Verlag, LNCS, 2977 (2003),
90-104.
[10] R. J. Hathaway and J. C. Bezdek, Recent convergence results for fuzzy c-means clustering algorithms,
Journal of Classification, 5 (1988), 237-247.
[11] M. A. Ismail, Soft clustering: Algorithms and validity of solutions, Fuzzy Computing Theory Hardware
and Applications, North Holland, 1988, 445-471.
[12] P. M. Kanade and L. O. Hall, Fuzzy ant clustering by centroids, Proceeding of the IEEE Conference on
Fuzzy Systems, Budapest: Hungary, 2004, 371-376.
[13] P. M. Kanade and L. O. Hall, Fuzzy ants as a clustering concept, The 22nd Int. Conf. of the North
American Fuzzy Information Processing Society (NAFIPS), Chicago, 2003, 227-232.
[14] L. Kaufman and P. Rousseeuw, Finding groups in Data: Introduction to cluster analysis, John Wily &
Sons Inc., New York, 1990.
[15] J. Kennedy and R. C. Eberhart, Particle swarm optimization, Proceedings of the IEEE International
Joint Conference on Neural Networks, 4 (1995), 1942-1948.
[16] J. Kennedy, R. C. Eberhart and Y. Shi, Swarm intelligence, San Mateo: Morgan Kaufmann, CA, 2001.
[17] F. Klawonn and A. Keller, Fuzzy clustering with evolutionary algorithms, Int. Journal of Intelligent
Systems, 13 (10-11) (1998), 975-991.
[18] J. G. Klir and B. Yuan, Fuzzy sets and fuzzy logic, theory and applications, Prentice-Hall Co., 2003.
[19] D. J. Newman, S. Hettich, C. L. Blake and C. J. Merz, UCI Repository of machine learning databases,
http://www.ics.uci.edu/~mlearn/MLRepository.html, Department of Information and Computer
Science, University of California, Irvine, CA, 1998.
[20] M. Omran, A. Salman and A. P. Engelbrecht, Image classification using particle swarm optimization,
Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning, Singapore, 2002,
370-374.
[21] M. Roubens, Pattern classification problems and fuzzy sets, Fuzzy Sets and Systems, 1 (1978), 239-253.
[22] M. Roubens, Fuzzy clustering algorithms and their cluster validity, European Journal of Operation
Research, 10 (1982), 294-301.
[23] T. A. Runkler and C. Katz, Fuzzy clustering by particle swarm optimization, IEEE Int. Conf. on Fuzzy
Systems, Vancouver: Canada, July 16-21, 2006, 601-608.
[24] T. A. Runkler, Ant colony optimization of clustering models, Int. Journal of Intelligent Systems, 20 (12)
(2005), 1233-1261.
[25] E. H. Ruspini, Numerical methods for fuzzy clustering, Information Sciences, 2 (1970), 319-50.
[26] J. Tillett, R. Rao, F. Sahin and T. M. Rao, Particle swarms optimization for the clustering of wireless
sensors, Proceedings of SPIE: Digital Wireless Communications V, 5100 (2003), 73-83.
[27] D. W. Van der Merwe and A. P. Engelbrecht, Data clustering using particle swarm optimization,
Proceedings of the IEEE Congress on Evolutionary Computation, Canberra: Australia, 2003, 215-220.
[28] R. T. Yen and S. Y. Bang, Fuzzy relations, fuzzy graphs and their applications to clustering analysis, in:
L. Zadeh et al. (Eds.), Fuzzy Sets and their Applications to Cognitive and Decision Processes, New
York: Academic Press, Inc., 1975, 125-150.
[29] N. Zahid, M. Limoun and A. Essaid, A new cluster-validity for fuzzy clustering, Pattern Recognition, 32
(1999), 1089-1097.
[30] C. J. Zhang, Y. Gao, S. P. Yuan and Z. Li, Particle swarm optimization for mobile and hoc networks
clustering, Proceeding of the Int. Conf. on Networking, Sensing and Control, Taipei: Taiwan, 2004,
372-375.
[31] H. J. Zimmermann, Fuzzy set theory and its applications, Lower Academic Publishers, 1996.
)