Robust fuzzy clustering neural network based on ε-insensitive loss function

Applied Soft Computing Journal

Volumn 7, Issue 2, 2007, Pages 577-584

  Wang, Shitong ^a   Chung, Korris F L ^b   Zhaohong, Deng ^a,b,d   Dewen, Hu ^a,c  

^a Southern Yangtse University   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^d NANJING UNIVERSITY   (China)

Author keywords

Insensitive loss function; Fuzzy clustering; Neural networks; Outliers; Robustness

Indexed keywords

ALGORITHMS; FUZZY CONTROL; OPTIMIZATION; QUADRATIC PROGRAMMING; ROBUSTNESS (CONTROL SYSTEMS);

FUZZY CLUSTERING; INSENSITIVE LOSS FUNCTION; OUTLIERS; QUADRATIC PROGRAMMING OPTIMIZATION;

NEURAL NETWORKS;

EID: 33846833888     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2006.04.008     Document Type: Article

References (17)

1. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithm (1982), Plenum Press, New York
2. Gordon A.D. A review of hierarchical classification. J. R. Statistic Soc. Ser. A 50 (1987) 119-137
3. Gabrys B., and Bargiela A. General fuzzy min-max neural network for clustering and classification. IEEE Trans. Neural Netw. 11 3 (2000) 769-783
4. Krishnapuram R., and Keller J.M. A possible approach to clustering. IEEE Trans. Fuzzy Syst. 1 1 (1993) 98-110
5. Kohonen T. Self Organization and Associative Memory (1989), Spring-Verlag, Berlin
6. Zhang D. Neural Networks System Design Methodology (1996), Tsinghua University Press, Beijing pp. 17-20
7. Vapnik V. Statistical Learning Theory (1998), Wiley, New York
8. Gill P.E., Murray W., and Wright M.H. Practical Optimization (1981), Academic Press, New York
9. Huber P.J. Robust Statistics (1981), Wiley Press, New York
10. Wang S.T. Neuro-fuzzy Systems and Their Applications (1998), Press of Beijing Aeronautical University, Beijing
11. He P.L., and Hou Y.X. Non-symmetric learning algorithm of fuzzy clustering neural networks. J. Comp. Res. Dev. 38 3 (2001) 296-301
12. R.G. Steve, Support Vector Machines Classification and Regression, Technical Report, 1998.
13. Baghmishen M., and Pavesic N. Premature clustering phenomenon and new training algorithm for LVQ. Pattern Recognit. 36 (2003) 1901-1912
14. Leski J. Towards a robust fuzzy clustering. Fuzzy Sets Syst. 137 2 (2003) 215-233
15. Yang M.S., and Wu K.L. A similarity-based robust clustering method. IEEE Trans. Pattern Anal. Mach. Intell. 26 4 (2004) 434-448
16. Zhang J., and Leung Y. Robust clustering by pruning outliers. IEEE Trans. Syst. Man Cybern. 33 6 (2003) 983-999
17. Zhang D., and Pal S.K. A fuzzy clustering neural networks system design methodology. IEEE Trans. Neural Netw. 11 4 (2000) 1174-1177