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Volumn 13, Issue 1, 2003, Pages 45-55

On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures

Author keywords

Efficient updating formulas; Incremental EM algorithm; Partial E step; Sparse IEM algorithm

Indexed keywords


EID: 0345832327     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1021987710829     Document Type: Article
Times cited : (35)

References (20)
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    • (1998) Technical Report No. MSR-TR-98-35 , vol.MSR-TR-98-35
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  • 10
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    • A sparse version of the incremental EM algorithm for large databases
    • Centre of Statistics, University of Queensland
    • McLachlan G.J. and Ng S.K. 2000. A sparse version of the incremental EM algorithm for large databases. Technical Report, Centre of Statistics, University of Queensland.
    • (2000) Technical Report
    • McLachlan, G.J.1    Ng, S.K.2
  • 14
    • 21344477603 scopus 로고
    • On the rate of convergence of the ECM algorithm
    • Meng X.L. 1994. On the rate of convergence of the ECM algorithm. Annals of Statistics 22: 326-339.
    • (1994) Annals of Statistics , vol.22 , pp. 326-339
    • Meng, X.L.1
  • 15
    • 0000251971 scopus 로고
    • Maximum likelihood estimation via the ECM algorithm: A general framework
    • Meng X.L. and Rubin D.B. 1993. Maximum likelihood estimation via the ECM algorithm: A general framework. Biometrika 80: 267-278.
    • (1993) Biometrika , vol.80 , pp. 267-278
    • Meng, X.L.1    Rubin, D.B.2
  • 16
    • 18244387717 scopus 로고    scopus 로고
    • The EM algorithm - An old folk-song sung to a fast new tune (with discussion)
    • Meng X.L. and van Dyk D. (1997). The EM algorithm - An old folk-song sung to a fast new tune (with discussion). Journal of the Royal Statistical Society Series B 59: 511-567.
    • (1997) Journal of the Royal Statistical Society Series B , vol.59 , pp. 511-567
    • Meng, X.L.1    Van Dyk, D.2
  • 17
    • 84899029127 scopus 로고    scopus 로고
    • Very fast EM-based mixture model clustering using multiresolution kd-trees
    • Kearns M.S., Solla S.A., and Cohn D.A. (Eds.), MIT Press, Cambridge, MA
    • Moore A.W. 1999. Very fast EM-based mixture model clustering using multiresolution kd-trees. In: Kearns M.S., Solla S.A., and Cohn D.A. (Eds.), Advances in Neural Information Processing Systems 11. MIT Press, Cambridge, MA, pp. 543-549.
    • (1999) Advances in Neural Information Processing Systems , vol.11 , pp. 543-549
    • Moore, A.W.1
  • 18
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • Jordan M.I. (Ed.), Kluwer, Dordrecht
    • Neal R.M. and Hinton G.E. 1998. A view of the EM algorithm that justifies incremental, sparse, and other variants. In: Jordan M.I. (Ed.), Learning in Graphical Models. Kluwer, Dordrecht, pp. 355-368.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2
  • 19
    • 85172412915 scopus 로고
    • Accelerated quantification of Bayesian networks with incomplete data
    • Fayyad U.M. and Uthurusamy R. (Eds.), AAAI Press
    • Thiesson B. 1995. Accelerated quantification of Bayesian networks with incomplete data. In: Fayyad U.M. and Uthurusamy R. (Eds.), Proceedings of First International Conference on Knowledge Discovery and Data Mining. AAAI Press, pp. 306-311.
    • (1995) Proceedings of First International Conference on Knowledge Discovery and Data Mining , pp. 306-311
    • Thiesson, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.