Fuzzy C-means and fuzzy swarm for fuzzy clustering problem

Expert Systems with Applications

Volumn 38, Issue 3, 2011, Pages 1835-1838

  Izakian, Hesam ^a   Abraham, Ajith ^b  

^a UNIVERSITY OF ISFAHAN   (Iran)

^b SCIENTIFIC NETWORK FOR INNOVATION AND RESEARCH EXCELLENCE   (United States)

Author keywords

Fuzzy clustering; Particle swarm optimization

Indexed keywords

CLUSTERING PROBLEMS; FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; FUZZY CLUSTERING METHOD; FUZZY CLUSTERING TECHNIQUES; LOCAL OPTIMA; OPTIMIZATION PROBLEMS; PARTICLE SWARM; REAL-WORLD APPLICATION; STOCHASTIC GLOBAL OPTIMIZATION;

FUZZY CLUSTERING; FUZZY SYSTEMS; GLOBAL OPTIMIZATION; OFFSHORE OIL FIELDS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78049527645     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.07.112     Document Type: Article

References (14)

1. E. Alpaydin Introduction to machine learning 2004 MIT Press Cambridge
2. Bezdek, J. (1974). Fuzzy mathematics in pattern classification. Ph.D. thesis. Ithaca, NY: Cornell University.
3. G. Gan, J. Wu, and Z. Yang A genetic fuzzy k-modes algorithm for clustering categorical data Expert Systems with Applications 36 2009 1615 1620
4. R.J. Hathway, and J. Bezdek Optimization of clustering criteria by reformulation IEEE transactions on Fuzzy Systems 1995 241 245
5. Kennedy, J.; & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks (pp. 1942-1948).
6. J. Kennedy, and R. Eberhart Swarm intelligence 2001 Morgan Kaufmann
7. Li, L.; Liu, X.; & Xu, M. (2007). A novel fuzzy clustering based on particle swarm optimization. In First IEEE international symposium on information technologies and applications in education (pp. 88-90).
8. Liu, H.C.; Yih, J.M.; Wu, D. B.; & Liu, S.W. (2008). Fuzzy C-mean clustering algorithms based on Picard iteration and particle swarm optimization. In 2008 international workshop on education technology and training & 2008 international workshop on geoscience and remote sensing (pp. 838-842).
9. Pang, W.; Wang, K.; Zhou, C.; & Dong, L. (2004). Fuzzy discrete particle swarm optimization for solving traveling salesman problem. In Proceedings of the fourth international conference on computer and information technology (pp. 796-800). IEEE CS Press.
10. Runkler, T. A.; & Katz, C. (2006). Fuzzy clustering by particle swarm optimization. In 2006 IEEE international conference on fuzzy systems (pp. 601-608). Canada.
11. P.N. Tan, M. Steinbach, and V. Kumar Introduction to data mining 2005 Addison-Wesley Boston
12. A. Webb Statistical pattern recognition 2002 John Wiley & Sons New Jersey
13. F. Yang, T. Sun, and C. Zhang An efficient hybrid data clustering method based on K-harmonic means, and particle swarm optimization Expert Systems with Applications 36 2009 9847 9852
14. ZHAO, B. (2007). An ant colony clustering algorithm. In Proceedings of the sixth international conference on machine learning and cybernetics (pp. 3933-3938). Hong Kong.