EDP Sciences logo
Subscriber Authentication Point
Search
Menu
All issues Volume 10 / No V2 (1976) R.A.I.R.O. Recherche opérationnelle, 10 V2 (1976) 75-106 References
Free Access
Issue
R.A.I.R.O. Recherche opérationnelle
Volume 10, Number V2, 1976
Page(s) 75 - 106
DOI https://doi.org/10.1051/ro/197610V200751
Published online 06 February 2017
  • 1. A. K. AGRAWALA, Learning with a Probabilistic Teacher I.E.E.E. Transactions on Information Theory, IT-16, No. 4, May 1970. [MR: 272086] [Zbl: 0207.49302] [Google Scholar]
  • 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. [Google Scholar]
  • 3. C. G. BHATTACHARYA, A Simple Method of Resolution of a Distribution into Gaussian Components, Biometrics, March 1967. [Google Scholar]
  • 4. D. B. COOPER and P. W. COOPER, Non Supervisée Adaptive Signal Detection and Pattern Recognition, Information and Control, 7, 1964, p. 416. [MR: 169721] [Zbl: 0199.22402] [Google Scholar]
  • 5. P. W. COOPER, Some Topics on Non Supervised Adaptive Detection for Multivariate Normal Distributions, Computer and Information Sciences, 11, 1967. [Zbl: 0214.47205] [Google Scholar]
  • 6. N. E. DAY, Estimating the Components of a Mixture of Normal Distributions, Biometrika, 56, 3, 1969, p. 463. [MR: 254956] [Zbl: 0183.48106] [Google Scholar]
  • 7. E. DIDAY, Optimisation en classification automatique et Reconnaissance des formes, R.A.I.R.O., V-3, November 1972, p. 61. [EuDML: 104558] [MR: 329344] [Zbl: 0249.68037] [Google Scholar]
  • 8. E. DIDAY, The Dynantic Clusters Method in Non-Hierarchical Clustering, , International Journal of Computer and Information Sciences, 2, No. 1, 1973. [MR: 339578] [Zbl: 0268.62005] [Google Scholar]
  • 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: 105908] [Google Scholar]
  • 10. E. DIDAY, Nouvelles méthodes et nouveaux concepts en classification automatique et reconnaissance des formes, Thèse de Doctorat d'État ès-sciences Mathématiques, 1972. [Zbl: 0251.68051] [Google Scholar]
  • 11. DOROFEYUK, Automatic Classification Algorithms, (Review) Automation and Remote Control, 32, No. 12 part 1, December 1971, p. 1928. [MR: 339579] [Zbl: 0252.68060] [Google Scholar]
  • 12. R. O. DUDA and R. E. HART, Pattern Classification and Scene Analysis, Wiley New York, 1973. [Zbl: 0277.68056] [Google Scholar]
  • 13. C. FOURGEAUD and A. FUCHS, Statistique, Dunod, Paris, 1971. [MR: 258161] [Zbl: 0201.51501] [Google Scholar]
  • 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: 0277.68013] [Google Scholar]
  • 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. [Google Scholar]
  • 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. [Google Scholar]
  • 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: 467962] [Zbl: 0332.62069] [Google Scholar]
  • 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: 214227] [Zbl: 0214.46201] [Google Scholar]
  • 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: 0193.14702] [Google Scholar]
  • 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: 0151.24604] [Google Scholar]
  • 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: 274182] [Zbl: 0199.54302] [Google Scholar]
  • 22. E. A. PATRICK, Fundamentals of Pattern Recognition, Prentice Hall Inc. NJ, 1972. [Zbl: 0253.68023] [Google Scholar]
  • 23. K. PEARSON, Contributions to the Mathematic Theory of Evolution, Philos Trans. Soc, No. 185, 1894. [Zbl: 25.0347.02] [JFM: 25.0347.02] [Google Scholar]
  • 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: 0034.07902] [Google Scholar]
  • 25. J. M. ROMEDER, Méthodes de discrimination, Thèse de 3e cycle, Laboratoire de Statistique Mathématique, Université Paris VI, 1969. [Google Scholar]
  • 26. A. SCHROEDER, Reconnaissance des composants d'un mélange, Thèse 3e cycle,Université Paris VI, 1974. [Google Scholar]
  • 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. [Google Scholar]
  • 28. G. S. SEBESTYEN, Decision-Making Process in Pattern Recognition, A.C.M. Monograph series, MacMillan, New York, 1962. [MR: 156700] [Google Scholar]
  • 29. J. S. SPRAGINS, Learning Without a Teacher, I.E.E.E. Transactions on Information Theory, IT-12, No. 2, April 1966. [Google Scholar]
  • 30. D. WISHART, Some Problems in the Theory and Application of the Methods of Numerical Taxonomy, Ph. D. Thesis University of St-Andrews, 1971. [Google Scholar]
  • 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: 0206.19803] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.