An application of fuzzy entropy clustering in speaker identification

Proceedings of the Joint Conference on Information Sciences

Volumn 5, Issue 1, 2000, Pages 215-218

  Tran, Dat ^a   Wagner, Michael ^a  

^a UNIVERSITY OF CANBERRA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATABASE SYSTEMS; ENTROPY; FUZZY SETS; MATRIX ALGEBRA; MEMBERSHIP FUNCTIONS; PROBABILITY DISTRIBUTIONS; VECTORS;

ENTROPY CLUSTERING; SPEAKER IDENTIFICATION;

SPEECH RECOGNITION;

EID: 1642382173     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York and London, 1981.
2. J. C. Bezdek, Fuzzy mathematics in Pattern Classification, Ph.D. thesis, Applied Math. Center, Cornell University, Ithaca, 1973.
3. D. E. Gustafson and W. Kessel, "Fuzzy clustering with a Fuzzy Covariance Matrix", in Proc. IEEE-CDC, (K. S. Fu, ed.), vol. 2, pp. 761-766, IEEE Press, Piscataway, New Jersey, 1979.
4. R. N. Dave, "Characterization and detection of noise in clustering", Pattern Recognition Lett., vol. 12, no. 11, pp. 657-664, 1991.
5. R. N. Dave and R. Krishnapuram, "Robust clustering methods: a unified view", IEEE Trans. Fuzzy Syst., vol. 5, no.2, pp. 270-293.
6. R. O. Duda and P. E. Hart, Pattern classification and scene analysis, John Wiley & Sons, New York, 1973.
7. J. Dunn, "A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Cluster", J. Cybern., vol. 3, pp. 32-57, 1974.
8. A. P. Dempster, N. M. Laird and D. B. Rubin, "Maximum Likelihood from Incomplete Data via the EM algorithm", J. Roy. Stat. Soc., Series B, vol. 39, pp. 1-38, 1977.
9. J. Hartigan, Clustering Algorithms, Wiley, NewYork, 1975.
10. R. Hathaway, "Another interpretation of the EM algorithm for mixture distribution", J. Stat. Prob. Lett., vol. 4, pp. 53-56, 1986.
11. E. T. Jaynes, "Information theory and statistical mechanics", Phys. Rev., vol. 106, pp. 620-630, 1957.
12. Y. Linde, A. Buzo and R. M. Gray, "An Algorithm for Vector Quantization", IEEE Trans. Communications, vol. 28, pp. 84-95, 1980.
13. R.-P. Li and M. Mukaidono, "Gaussian clustering method based on maximum-fuzzy-entropy interpretation", Fuzzy Sets and Systems, vol. 102, pp. 253-258, 1999.
14. A. de Luca, S. Termini, "A definition of a nonprobabilistic entropy in the setting of fuzzy set theory", Inform. Control, vol. 20, pp. 301-312, 1972.
15. R. H. J. M. Otten and L. P. P. P. van Ginneken, The Annealing Algorithm, Kluwer, Boston, 1989.
16. D. Tran and M. Wagner, "A general approach to hard, fuzzy and probabilistic models for pattern recognition", in Proc. of the International Conference on Advances in Intelligent Systems: Theory and Applications (AISTA'2000), Australia (to appear).