Nonstationary time series analysis by temporal clustering

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 30, Issue 2, 2000, Pages 339-343

  Policker, Shai ^a   Geva, Amir B ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; MATRIX ALGEBRA; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION;

FUZZY CLUSTERING;

TIME SERIES ANALYSIS;

EID: 0033692592     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.836381     Document Type: Article

References (16)

1. A. S. Weigend and N. A. Gershenfeld, Eds., Time Series Prediction: Forecasting the Future and Understanding the Past. New York: Addison-Wesley, 1994.
2. D. Hamilton, Time Series Analysis. Princeton, NJ: Princeton Univ. Press, 1994, pp. 677-699.
3. J. R. Deller, J. G. Proakis, and J. H. L. Hansen, Discrete-Time Processing of Speech Signals. Englewood Cliffs, NJ: Prentice-Hall, 1987.
4. M. B. Priestley, Nonlinear and Nonstationary Time Series Analysis. New York: Academic, 1988.
5. Y. Freund and D. Ron, "Learning to model sequences generated by switching distributions," in Proc. 8th Annu. ACM Conf. Computational Learning Theory (COLT), 1995, pp. 41-50.
6. K. Pawelzik, J. Kohlmorgen, and K. R. Muller, "Annealed competition of experts for a segmentation and classification of switching dynamics," Neural Comput., vol. 8, no. 2, 1996.
7. Z. Rogowski, I. Gath, and E. Bental, "On the prediction of epileptic seizures," Biol. Cybern., vol. 42, no. 9, 1981.
8. J. Kohlmorgen, K. R. Muller, and K. Pawelzik, "Segmentation and identification of drifting dynamical systems," in NNSP '97: IEEE Workshop on Neural Networks for Signal Processing, J. Principe, L. Giles, N. Morgan, and E. Wilson, Eds. New York: IEEE Press, pp. 326-335.
9. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum, 1981.
10. J. C. Bezdek and S. K. Pal, Fuzzy Models for Pattern Recognition. New York: IEEE Press, 1992.
11. K. Jain and R. C. Dubes, Algorithms for Clustering Data. Englewood Cliffs, NJ: Prentice-Hall, 1988.
12. I. Gath and A. B. Geva, "Unsupervised optimal fuzzy clustering," IEEE Trans. Pattern Anal. Machine Intell., vol. 7, pp. 773-781, 1989.
13. K. Rose, E. Gurewitz, and G. Fox, "A deterministic annealing approach to clustering," IEEE Pattern Recognit. Lett., vol. 11, pp. 589-594, 1990.
14. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: A Wiley-Interscience, 1991.
15. B. Porat, Digital Processing of Random Signals. Englewood Cliffs, NJ: Prentice-Hall, 1994.
16. S. G. Mallat and S. Zhong, "Characterization of signal from multiscale edges," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, p. 674, July 1989.