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Volumn 42, Issue 1-2, 2001, Pages 9-29

Experimental comparison of model-based clustering methods

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; PERTURBATION TECHNIQUES; RANDOM PROCESSES;

EID: 0034826101     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007648401407     Document Type: Article
Times cited : (182)

References (18)
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  • 2
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    • Update rules for parameter estimation in Bayesian networks
    • D. Geiger and P. Shenoy (Eds.), Providence, RI, San Mateo, CA: Morgan Kaufmann
    • Bauer, E., Koller, D., & Singer, Y. (1997). Update rules for parameter estimation in Bayesian networks. In D. Geiger and P. Shenoy (Eds.), Proceedings of Thirteenth Conference on Uncertainty in Artificial Intelligence, Providence, RI, (pp. 3-13). San Mateo, CA: Morgan Kaufmann.
    • (1997) Proceedings of Thirteenth Conference on Uncertainty in Artificial Intelligence , pp. 3-13
    • Bauer, E.1    Koller, D.2    Singer, Y.3
  • 3
    • 0001626339 scopus 로고
    • A classification EM algorithm for clustering and two stochastic versions
    • Celeux, G. & Govaert, G. (1992). A classification EM algorithm for clustering and two stochastic versions. Computational Statistics and Data Analysis, 14, 315-332.
    • (1992) Computational Statistics and Data Analysis , vol.14 , pp. 315-332
    • Celeux, G.1    Govaert, G.2
  • 4
    • 0002607026 scopus 로고
    • Bayesian classification (AutoClass): Theory and results
    • U. Fayyad, G. Piatesky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.) Menlo Park, CA: AAAI Press
    • Cheeseman, P. & Stutz, J. (1995). Bayesian classification (AutoClass): Theory and results. In U. Fayyad, G. Piatesky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.) Advances in Knowledge Discovery and Data Mining (pp. 153-180). Menlo Park, CA: AAAI Press.
    • (1995) Advances in Knowledge Discovery and Data Mining , pp. 153-180
    • Cheeseman, P.1    Stutz, J.2
  • 5
    • 0031272327 scopus 로고    scopus 로고
    • Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables
    • Chickering, D. & Heckerman, D. (1997). Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables. Machine Learning, 29, 181-212.
    • (1997) Machine Learning , vol.29 , pp. 181-212
    • Chickering, D.1    Heckerman, D.2
  • 11
    • 0029678997 scopus 로고    scopus 로고
    • Iterative optimization and simplification of hierarchical clustering
    • Fisher, D. (1996). Iterative optimization and simplification of hierarchical clustering. Journal of Artificial Intelligence Research, 4:270:281.
    • (1996) Journal of Artificial Intelligence Research , vol.4 , pp. 270-281
    • Fisher, D.1
  • 12
    • 0032131702 scopus 로고    scopus 로고
    • Algorithms for model-based Gaussian hierarchical clustering
    • Fraley, C. (1997). Algorithms for model-based Gaussian hierarchical clustering. SIAM Journal on Scientific Computing, 20, 270-281.
    • (1997) SIAM Journal on Scientific Computing , vol.20 , pp. 270-281
    • Fraley, C.1
  • 13
    • 85156256883 scopus 로고    scopus 로고
    • Does the wake-sleep algorithm produce good density estimators?
    • D. Touretsky, M. Mozer, & M. Hasselmo, (Eds.), Cambridge, MA: MIT Press
    • Frey, B., Hinton, G., & Dayan, P. (1996). Does the wake-sleep algorithm produce good density estimators? In D. Touretsky, M. Mozer, & M. Hasselmo, (Eds.), Neural Information Processing Systems (Vol. 8, pp. 661-667). Cambridge, MA: MIT Press.
    • (1996) Neural Information Processing Systems , vol.8 , pp. 661-667
    • Frey, B.1    Hinton, G.2    Dayan, P.3
  • 15
    • 0003740921 scopus 로고    scopus 로고
    • An experimental comparison of several clustering and initialization methods
    • February, Microsoft Research, Redmond, WA
    • Meilǎ, M. & Heckerman, D. (February, 1998). An experimental comparison of several clustering and initialization methods. Technical Report MSR-TR-98-06, Microsoft Research, Redmond, WA.
    • (1998) Technical Report MSR-TR-98-06
    • Meilǎ, M.1    Heckerman, D.2
  • 16
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    • Accelerated quantification of Bayesian networks with incomplete data
    • Montreal, QU San Francisco, CA: Morgan Kaufmann
    • Thiesson, B. (1995). Accelerated quantification of Bayesian networks with incomplete data. In Proceedings of First International Conference on Knowledge Discovery and Data Mining, Montreal, QU (pp. 306-311). San Francisco, CA: Morgan Kaufmann.
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    • Thiesson, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.