A new approach in mixed distributions detection
Revue française d'automatique, informatique, recherche opérationnelle. Recherche opérationnelle, Tome 10 (1976) no. V2, pp. 75-106.
@article{RO_1976__10_2_75_0,
     author = {Diday, E. and Schroeder, A.},
     title = {A new approach in mixed distributions detection},
     journal = {Revue fran\c{c}aise d'automatique, informatique, recherche op\'erationnelle. Recherche op\'erationnelle},
     pages = {75--106},
     publisher = {EDP-Sciences},
     volume = {10},
     number = {V2},
     year = {1976},
     mrnumber = {455212},
     zbl = {0338.62033},
     language = {en},
     url = {http://www.numdam.org/item/RO_1976__10_2_75_0/}
}
TY  - JOUR
AU  - Diday, E.
AU  - Schroeder, A.
TI  - A new approach in mixed distributions detection
JO  - Revue française d'automatique, informatique, recherche opérationnelle. Recherche opérationnelle
PY  - 1976
SP  - 75
EP  - 106
VL  - 10
IS  - V2
PB  - EDP-Sciences
UR  - http://www.numdam.org/item/RO_1976__10_2_75_0/
LA  - en
ID  - RO_1976__10_2_75_0
ER  - 
%0 Journal Article
%A Diday, E.
%A Schroeder, A.
%T A new approach in mixed distributions detection
%J Revue française d'automatique, informatique, recherche opérationnelle. Recherche opérationnelle
%D 1976
%P 75-106
%V 10
%N V2
%I EDP-Sciences
%U http://www.numdam.org/item/RO_1976__10_2_75_0/
%G en
%F RO_1976__10_2_75_0
Diday, E.; Schroeder, A. A new approach in mixed distributions detection. Revue française d'automatique, informatique, recherche opérationnelle. Recherche opérationnelle, Tome 10 (1976) no. V2, pp. 75-106. http://www.numdam.org/item/RO_1976__10_2_75_0/

1. A. K. Agrawala, Learning with a Probabilistic Teacher I.E.E.E. Transactions on Information Theory, IT-16, No. 4, May 1970. | MR | Zbl

2. G. H. Ball, D. J. Hall, Isodata : A Novel Method of Data Analysis and Pattern Classification, Technical Report, SRI Project 5533, Stanford Research Institute, Menlo Park, California U.S.A., 1965.

3. C. G. Bhattacharya, A Simple Method of Resolution of a Distribution into Gaussian Components, Biometrics, March 1967.

4. D. B. Cooper and P. W. Cooper, Non Supervisée Adaptive Signal Detection and Pattern Recognition, Information and Control, 7, 1964, p. 416. | MR | Zbl

5. P. W. Cooper, Some Topics on Non Supervised Adaptive Detection for Multivariate Normal Distributions, Computer and Information Sciences, 11, 1967. | Zbl

6. N. E. Day, Estimating the Components of a Mixture of Normal Distributions, Biometrika, 56, 3, 1969, p. 463. | MR | Zbl

7. E. Diday, Optimisation en classification automatique et Reconnaissance des formes, R.A.I.R.O., V-3, November 1972, p. 61. | EuDML | Numdam | MR | Zbl

8. E. Diday, The Dynantic Clusters Method in Non-Hierarchical Clustering, , International Journal of Computer and Information Sciences, 2, No. 1, 1973. | MR | Zbl

9. E. Diday, Une nouvelle méthode de classification automatique et reconnaissance des formes: La méthode des Nuées Dynamiques, Revue de Statistique Appliquée, XIX, 2, 1970. | EuDML | Numdam

10. E. Diday, Nouvelles méthodes et nouveaux concepts en classification automatique et reconnaissance des formes, Thèse de Doctorat d'État ès-sciences Mathématiques, 1972.

11. Dorofeyuk, Automatic Classification Algorithms, (Review) Automation and Remote Control, 32, No. 12 part 1, December 1971, p. 1928. | MR | Zbl

12. R. O. Duda and R. E. Hart, Pattern Classification and Scene Analysis, Wiley New York, 1973.

13. C. Fourgeaud and A. Fuchs, Statistique, Dunod, Paris, 1971. | MR | Zbl

14. E. Gelenbe, J. C. A. Boekhorst and J. L. W. Kessels, Minimizing Wasted Space in Partitioned Segmentation, Communications of the A.C.M., 16, No. 6, June 1973. | Zbl

15. W. D. Gregg and J. C. Hancock, An Optimum Decision, Directed Scheme for Gaussian Mixtures, I.E.E.E. Transactions on Information Theory, IT-14, No. 3, May 1968.

16. Y. C. Ho and A. K. Agrawala, On Pattern Classification Algorithms; Introduction and Survey, Proceedings of the I.E.E.E., 56, No. 12, December 1972.

17. J. Leroudier and A. Schroeder, Statistical Approach to the Estimation of Service Times Distributions for Operating Systems Modeling, E. GELENBE, D. POTIER (eds) International Computing Symposium 1975, North-Holland publ. C°, June 1975. | MR | Zbl

18. J. Macqueen, Some Methods for Classification and Analysis of Multivariate Observations, The 5th Berkley Symposium on Mathematics, Statistics and Probability, 1, No. 1, 1967. | MR | Zbl

19. E. A. Patrick and F. P. Fischer, Cluster Mapping with Experimental Computer Graphics, I.E.E.E. Trans. On Computers, c 18, No. 11, november 1969. | Zbl

20. E. A. Patrick and J. C. Hancock, Non Supervised Sequential Classification and Recognition of Patterns, I.E.E.E. Transactions on Information Theory, IT-12, No. 3, July 1966. | Zbl

21. E. A. Patrick and J. P. Costello, On Unsupervised Estimation Algorithms, I.E.E.E. Transactions on Information Theory, IT-16, No. 5; September 1970. | MR | Zbl

22. E. A. Patrick, Fundamentals of Pattern Recognition, Prentice Hall Inc. NJ, 1972. | Zbl

23. K. Pearson, Contributions to the Mathematic Theory of Evolution, Philos Trans. Soc, No. 185, 1894. | JFM

24. C. R. Rao, Utilization of Multiple Measurements in Problems of Biological Classification, Journal of the Royal Statistical Society, Series B, X, No. 2, 1948. | Zbl

25. J. M. Romeder, Méthodes de discrimination, Thèse de 3e cycle, Laboratoire de Statistique Mathématique, Université Paris VI, 1969.

26. A. Schroeder, Reconnaissance des composants d'un mélange, Thèse 3e cycle,Université Paris VI, 1974.

27. A. Schroeder, Analyse d'un mélange de distributions de probabilité de même type, Rapport de Recherche, n° 104, I.R.I.A., Laboria, 1975.

28. G. S. Sebestyen, Decision-Making Process in Pattern Recognition, A.C.M. Monograph series, MacMillan, New York, 1962. | MR

29. J. S. Spragins, Learning Without a Teacher, I.E.E.E. Transactions on Information Theory, IT-12, No. 2, April 1966.

30. D. Wishart, Some Problems in the Theory and Application of the Methods of Numerical Taxonomy, Ph. D. Thesis University of St-Andrews, 1971.

31. T. Y. Young and G. Coraluppi, Stochastic Estimation of a Mixture of Normal Density Functions Using an Information Criterion, I.E.E.E. Transactions on Information Theory, IT-16, No. 3. | Zbl