Hierarchical unsupervised fuzzy clustering

IEEE Transactions on Fuzzy Systems

Volumn 7, Issue 6, 1999, Pages 723-733

  Geva, Amir B ^a,b  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b IEEE   (Israel)

Author keywords

Cluster validity; Hierarchical clustering; Hybrid systems; Pattern recognition; Projection pursuit; Recursive feature extraction; Unsupervised fuzzy clustering

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; FEATURE EXTRACTION; HIERARCHICAL SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS;

FUZZY CLUSTERING; HIERARCHICAL CLUSTERING; PROJECTION PURSUIT;

FUZZY SETS;

EID: 0033280284     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.811242     Document Type: Article

References (20)

1. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum, 1981.
2. J. C. Bezdek and S. K. Pal, Fuzzy Models for Pattern Recognition. New York: IEEE Press, 1992.
3. N. R. Pal and J. C. Bezdek, "On cluster validity for the fuzzy c-means model," IEEE Trans. Fuzzy Syst., vol. 3, pp. 370-379, Aug. 1995.
4. X. L. Xie and G. Beni, "A validity measure for fuzzy clustering," IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 841-847, Aug. 1991.
5. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
6. A. K. Jain and R. C. Dubes, Algorithms for Clustering Data. Englewood Cliffs, NJ: Prentice-Hall, 1988.
7. L. A. Zadeh, "Fuzzy sets," Inform. Contr., vol. 8, pp. 338-353, 1965.
8. A. B. Geva and H. Pratt, "Unsupervized clustering of evoked potentials by waveform," Medical Biological Engrg. Computing, pp. 543-550, 1994.
9. I. Gath and A. B. Geva, "Unsupervised optimal fuzzy clustering," IEEE Trans. Pattern Anal. Machine Intell., vol. 7, pp. 773-781, July 1989.
10. _, "Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions," Pattern Recogn. Lett., vol. 9, pp. 77-86, 1989.
11. I. Gath, C. Feuerstein, and A. B. Geva, "Unsupervised classification and adaptive definition of sleep patterns," Pattern Recog. Lett., vol. 15, pp. 977-984, 1994.
12. A. B. Geva and I. Gath, "Decision making in electromyography using wavelet-type analysis and fuzzy clustering," in Proc. IEEE Int. Conf. Syst., Man, Cybern., Beijing, China, Oct. 1996, pp. 276-279.
13. M. C. Clark, L. O. Hall, D. B. Goldgof, L. P. Clark, R. P. Velthuizen, and M. S. Silbiger, "MRI segmentation using fuzzy clustering techniques," IEEE Engrg. Medicine Biology Mag., vol. 13, no. 5, pp. 730-742, Nov./Dec. 1994.
14. R. Krishnapuram, H. Frigui, and O. Nasraoui, "Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation - Part I," IEEE Trans. Fuzzy Syst., vol. 3, pp. 29-43, Feb. 1995.
15. A. Gersho and R. M. Gray, Vector Quantization and Signal Compressiow.Norwell, MA: Kluwer, 1992.
16. A. B. Geva and D. H. Kerem, "Forecasting generalized epileptic seizures from the EEG signal by wavelet analysis and dynamic Unsupervised fuzzy clustering," IEEE Trans. Biomed. Engrg., vol. 45, pp. 1205-1216, Oct. 1998.
17. S. G. Mallat and S. Zong, "Characterization of signal from multiscale edges," IEEE Trans. Pattern Anal. Machine Intell., vol. 10, pp. 710-732, 1992.
18. B. Noble, Applied Linear Algebra. Englewood Cliffs, NJ: Prentice-Hall, 1969.
19. J. H. Wolf, "Pattern clustering by multivariate mixture analysis," Multivariate Behavioral Res., vol. 5, pp. 329-350, July 1970.
20. D. E. Gustafson and W. C. Kessel, "Fuzzy clustering with a fuzzy covariance matrix," in Proc. IEEE CDC, San Diego, CA, Jan. 1979, pp. 761-766.