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Volumn 16, Issue 1, 2011, Pages 80-81

Commentary on Steinley and Brusco (2011): Recommendations and Cautions

Author keywords

Expectation maximization algorithm; Mixtures of factor analyzers; Normal mixture models

Indexed keywords

BEHAVIORAL RESEARCH; CLUSTER ANALYSIS; FACTORIAL ANALYSIS; HUMAN; NOTE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 79952599395     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0021141     Document Type: Note
Times cited : (15)

References (15)
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    • (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.32 , pp. 1298-1309
    • Baek, J.1    McLachlan, G.J.2    Flack, L.3
  • 3
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian clustering
    • Banfield J.D., Raftery A.E. Model-based Gaussian and non-Gaussian clustering. Biometrics 1993, 49:803-821.
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    • Banfield, J.D.1    Raftery, A.E.2
  • 5
    • 0005908349 scopus 로고
    • Small sample results for a linear discriminant function estimated from a mixture of normal populations
    • Ganesalingam S., McLachlan G.J. Small sample results for a linear discriminant function estimated from a mixture of normal populations. Journal of Statistical Computation and Simulation 1979, 9:151-158.
    • (1979) Journal of Statistical Computation and Simulation , vol.9 , pp. 151-158
    • Ganesalingam, S.1    McLachlan, G.J.2
  • 6
    • 0002954754 scopus 로고    scopus 로고
    • Consistent estimation of the order of mixture models
    • Keribin C. Consistent estimation of the order of mixture models. Sankhya A 2000, 62:49-66.
    • (2000) Sankhya A , vol.62 , pp. 49-66
    • Keribin, C.1
  • 8
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    • The classification and mixture maximum likelihood approaches to cluster analysis
    • North-Holland, Amsterdam, the Netherlands, P.R. Krishnaiah, L. Kanal (Eds.)
    • McLachlan G.J. The classification and mixture maximum likelihood approaches to cluster analysis. Handbook of statistics 1982, 2:199-208. North-Holland, Amsterdam, the Netherlands. P.R. Krishnaiah, L. Kanal (Eds.).
    • (1982) Handbook of statistics , vol.2 , pp. 199-208
    • McLachlan, G.J.1
  • 9
    • 0023570352 scopus 로고
    • On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture
    • McLachlan G.J. On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture. Applied Statistics 1987, 36:318-324.
    • (1987) Applied Statistics , vol.36 , pp. 318-324
    • McLachlan, G.J.1
  • 10
    • 0036203115 scopus 로고    scopus 로고
    • A mixture model-based approach to the clustering of microarray expression data
    • McLachlan G.J., Bean R.W., Peel D. A mixture model-based approach to the clustering of microarray expression data. Bioinformatics 2002, 18:413-422.
    • (2002) Bioinformatics , vol.18 , pp. 413-422
    • McLachlan, G.J.1    Bean, R.W.2    Peel, D.3
  • 13
    • 0001340183 scopus 로고
    • Clustering methods based on likelihood ratio criteria
    • Scott A.J., Symons M.J. Clustering methods based on likelihood ratio criteria. Biometrics 1971, 27:387-397.
    • (1971) Biometrics , vol.27 , pp. 387-397
    • Scott, A.J.1    Symons, M.J.2
  • 14
    • 79952595368 scopus 로고    scopus 로고
    • Evaluating mixture modeling for clustering: Recommendations and cautions
    • Steinley D., Brusco M.J. Evaluating mixture modeling for clustering: Recommendations and cautions. Psychological Methods 2011, 16:63-79.
    • (2011) Psychological Methods , vol.16 , pp. 63-79
    • Steinley, D.1    Brusco, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.