Improved possibilistic C-means clustering algorithms

IEEE Transactions on Fuzzy Systems

Volumn 12, Issue 2, 2004, Pages 209-217

  Zhang, Jiang She ^a   Leung, Yiu Wing ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Approach; C means; Clustering; Possibilistic

Indexed keywords

ALGORITHMS; MATRIX ALGEBRA; MEMBERSHIP FUNCTIONS; NUMERICAL METHODS; SET THEORY;

POSSIBILISTIC C MEANS CLUSTERING ALGORITHM; POSSIBILISTIC MEMBERSHIP; POSSIBILISTIC PARTITION MATRIX;

FUZZY SETS;

EID: 1942532748     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2004.825079     Document Type: Article

References (15)

1. R. Krishnapuram and J. Keller, "A possibilistic approach to clustering," IEEE Trans. Fuzzy Syst., vol. 1, pp. 98-110, Feb. 1993.
2. ____, "The possibilistic C-means algorithm: Insights and recommendations," IEEE Trans. Fuzzy Syst., vol. 4, pp. 385-393, 1996.
3. M. Barni, V. Cappellini, and A. Mecocci, "Comments on 'A possibilistic approach to clustering'," IEEE Trans. Fuzzy Syst., vol. 4, pp. 393-396, June 1996.
4. N. R. Pal, K. Pal, and J. C. Bezdek, "A mixed C-means clustering model," in Proc. IEEE Int. Conf. Fuzzy Systems, 1997, pp. 11-21.
5. H. Frigui and R. Krishnapuram, "A robust algorithm for automatic extraction of an unknown number of clusters for noisy data," Pattern Recogn. Lett., vol. 17, no. 12, pp. 1223-1232, Oct. 1996.
6. ____, "Clustering by competitive agglomeration," Pattern Recogn., vol. 30, no. 7, pp. 1109-1119, July 1997.
7. ____, "A robust competitive clustering algorithm with applications in computer vision," IEEE Trans. Pattern Anal. Machine Intell., vol. 21, pp. 450-465, May 1999.
8. J. S. Zhang and Y. W. Leung. (2003) "Improved possibilistic c-means clustering algorithm". Dept. Comput. Sci., Hong Kong Baptist Univ., [Online]. Available: http://www.comp.hkbu.edu.hk/~ywleung/papers/ipcm.zip
9. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum. 1981.
10. L. Kaufman and P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis. New York: Wiley, 1990.
11. K. K. Chintalapudi and M. Kam, "The credibilistic fuzzy c-means clustering algorithm," in Proc. IEEE Int. Conf. Systems Man Cybernetics, 1998, pp. 2034-2040.
12. ____, "A noise resistant fuzzy c-means algorithm for clustering," in Proc. IEEE Int. Conf. Fuzzy Systems, Anchorage, AK, May 1998.
13. R. N. Dave, "Characterization and detection of noise in clustering," Pattern Recogn. Lett., vol. 12, pp. 657-664, 1991.
14. R. N. Dave and R. Krishnapuram, "Robust clustering methods: A unified review," IEEE Trans. Fuzzy Syst., vol. 5, no. 2, pp. 270-293, May 1997.
15. Y.-W. Leung. Hong Kong Baptist Univ., Hong Kong. [Online]. Available: http://www.comp.hkbu.edu.hk/~ywleung/paper/ipcm.html