Optimization of fuzzy clustering criteria by a hybrid PSO and fuzzy c-means clustering algorithm

Iranian Journal of Fuzzy Systems

Volumn 5, Issue 3, 2008, Pages 1-14

  Mehdizadeh, E ^a   Sadi Nezhad, S ^a   Tavakkoli Moghaddam, R ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Fuzzy c means (FCM); Fuzzy Clustering; Particle Swarm Optimization (PSO)

Indexed keywords

EID: 77949620258     PISSN: 17350654     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. J. C. Bezdek, 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. nd 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, UC1 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. (Pubitemid 12566549)
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.