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Volumn 10, Issue 4, 2010, Pages 441-460

Heteroscedastic factor mixture analysis

Author keywords

EM algorithm; factor analysis; Gaussian mixture models; model based clustering

Indexed keywords


EID: 78751536244     PISSN: 1471082X     EISSN: 14770342     Source Type: Journal    
DOI: 10.1177/1471082X0901000405     Document Type: Article
Times cited : (59)

References (38)
  • 1
    • 34548315144 scopus 로고
    • A Morphometric analysis of differential sexual dimorphism in larvae of Chironomus
    • Atchley WR and Martin J (1971) A Morphometric analysis of differential sexual dimorphism in larvae of Chironomus. Canadian Entomologist, 108, 819-27.
    • (1971) Canadian Entomologist , vol.108 , pp. 819-827
    • Atchley, W.R.1    Martin, J.2
  • 2
    • 0033561886 scopus 로고    scopus 로고
    • Independent factor analysis
    • Attias H (1999) Independent factor analysis. Neural Computation, 11, 803-51.
    • (1999) Neural Computation , vol.11 , pp. 803-851
    • Attias, H.1
  • 3
    • 77949516728 scopus 로고    scopus 로고
    • Mixtures of factor analyzers with common factor loadings for the clustering and visualisation of high-dimensional data
    • Technical Report NI08018-SCH, Preprint Series of the, Isaac Newton Institute for Mathematical Sciences, Cambridge
    • Baek J and McLachlan GJ (2008) Mixtures of factor analyzers with common factor loadings for the clustering and visualisation of high-dimensional data. Technical Report NI08018-SCH, Preprint Series of the Isaac Newton Institute for Mathematical Sciences, Cambridge.
    • (2008)
    • Baek, J.1    McLachlan, G.J.2
  • 4
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian clustering
    • Banfield JD and Raftery AE (1993) Model-based Gaussian and non-Gaussian clustering. Biometrics, 49, 803-21.
    • (1993) Biometrics , vol.49 , pp. 803-821
    • Banfield, J.D.1    Raftery, A.E.2
  • 8
    • 70450229736 scopus 로고    scopus 로고
    • Model-based density estimation by independent factor analysis
    • In Spiliopoulou M, Kruse R, Borgelt C, Nrnberger A, Gaul W eds,Berlin: Springer-Verlag
    • Calò DG, Montanari A and Viroli C (2006) Model-based density estimation by independent factor analysis. In From data and information analysis to knowledge engineering, Spiliopoulou M, Kruse R, Borgelt C, Nrnberger A, Gaul W eds.Studies in classification, data analysis, and knowledge organization. Berlin: Springer-Verlag, 166-73.
    • (2006) Studies in Classification, Data Analysis, and Knowledge Organization , pp. 166-173
    • Calò, D.G.1    Montanari, A.2    Viroli, C.3
  • 9
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm (with discussion)
    • Series B
    • Dempster NM, Laird AP and Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B, 39, 1-38.
    • (1977) Journal of the Royal Statistical Society , vol.39 , pp. 1-38
    • Dempster, N.M.1    Laird, A.P.2    Rubin, D.B.3
  • 10
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: efficiency vs interpretability of classifications
    • Forgy EW (1965) Cluster analysis of multivariate data: efficiency vs interpretability of classifications. Biometrics, 21, 768-69.
    • (1965) Biometrics , vol.21 , pp. 768-769
    • Forgy, E.W.1
  • 11
    • 0032131702 scopus 로고    scopus 로고
    • Algorithms for model-based Gaussian hierarchical clustering
    • Fraley C (1998) Algorithms for model-based Gaussian hierarchical clustering. SIAM Journal on Scientific Computing, 20, 270-81.
    • (1998) SIAM Journal on Scientific Computing , vol.20 , pp. 270-281
    • Fraley, C.1
  • 13
    • 0242291493 scopus 로고    scopus 로고
    • MCLUST: software for model-based clustering, discriminant analysis, and density estimation
    • Technical Report No. 415, Department of Statistics, University of Washington
    • Fraley C and Raftery AE (2002b) MCLUST: software for model-based clustering, discriminant analysis, and density estimation. Technical Report No. 415, Department of Statistics, University of Washington.
    • (2002)
    • Fraley, C.1    Raftery, A.E.2
  • 14
    • 0742306126 scopus 로고    scopus 로고
    • Enhanced software for model-based clustering, discriminant analysis, and density estimation: MCLUST
    • Fraley C and Raftery AE (2003) Enhanced software for model-based clustering, discriminant analysis, and density estimation: MCLUST. Journal of Classification, 20, 263-86.
    • (2003) Journal of Classification , vol.20 , pp. 263-286
    • Fraley, C.1    Raftery, A.E.2
  • 15
    • 0003744820 scopus 로고    scopus 로고
    • The EM algorithm for mixture of factor analyzers
    • Technical Report CRG-TR-96-1, Department of Computer Science, University of Toronto, Canada
    • Ghahramani Z and Hilton GE (1997) The EM algorithm for mixture of factor analyzers. Technical Report CRG-TR-96-1, Department of Computer Science, University of Toronto, Canada.
    • (1997)
    • Ghahramani, Z.1    Hilton, G.E.2
  • 16
  • 20
    • 0001766512 scopus 로고
    • Some contributions to maximum likelihood factor analysis
    • Jöreskog KG (1967) Some contributions to maximum likelihood factor analysis. Psychometrika, 32, 443-82.
    • (1967) Psychometrika , vol.32 , pp. 443-482
    • Jöreskog, K.G.1
  • 21
    • 0000804180 scopus 로고
    • Simultaneous factor analysis in several populations
    • Jöreskog KG (1971) Simultaneous factor analysis in several populations. Psychometrika, 36, 409-26.
    • (1971) Psychometrika , vol.36 , pp. 409-426
    • Jöreskog, K.G.1
  • 22
    • 0034954414 scopus 로고    scopus 로고
    • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
    • Khan J, Wei J and Ringner M (2001) Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine, 7, 673-79.
    • (2001) Nature Medicine , vol.7 , pp. 673-679
    • Khan, J.1    Wei, J.2    Ringner, M.3
  • 23
    • 0003130097 scopus 로고
    • The estimation of factor loadings by the method of maximum likelihood
    • Lawley DN (1940) The estimation of factor loadings by the method of maximum likelihood. Proceedings of the Royal Society of Edinburgh, 60, 64-82.
    • (1940) Proceedings of the Royal Society of Edinburgh , vol.60 , pp. 64-82
    • Lawley, D.N.1
  • 24
    • 0034290916 scopus 로고    scopus 로고
    • ICA mixture models for unsupervised classification of non-Gaussian sources and automatic context switching in blind signal separation
    • Lee T, Lewicki M and Sejnowski T (2000) ICA mixture models for unsupervised classification of non-Gaussian sources and automatic context switching in blind signal separation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1078-89.
    • (2000) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.22 , pp. 1078-1089
    • Lee, T.1    Lewicki, M.2    Sejnowski, T.3
  • 25
    • 0038183179 scopus 로고    scopus 로고
    • Testing the number of components in a normal mixture
    • Lo Y, Mendell NR and Rubin DB (2001) Testing the number of components in a normal mixture. Biometrika, 88, 767-78.
    • (2001) Biometrika , vol.88 , pp. 767-778
    • Lo, Y.1    Mendell, N.R.2    Rubin, D.B.3
  • 26
    • 17444413035 scopus 로고    scopus 로고
    • Investigating population heterogeneity with factor mixture models
    • Lubke GH and Muthén B(2005) Investigating population heterogeneity with factor mixture models. Psychological Methods, 10, 21-39.
    • (2005) Psychological Methods , vol.10 , pp. 21-39
    • Lubke, G.H.1    Muthén, B.2
  • 30
    • 34147110831 scopus 로고
    • Measurement invariance, factor analysis, and factorial invariance
    • Meredith W (1993) Measurement invariance, factor analysis, and factorial invariance. Psychometrika, 58, 525-43.
    • (1993) Psychometrika , vol.58 , pp. 525-543
    • Meredith, W.1
  • 32
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G (1978) Estimating the dimension of a model. Annals of Statistics, 6, 461-64.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 35
    • 34548354749 scopus 로고    scopus 로고
    • Fitting the independent factor analysis model using the MCMC algorithm
    • Viroli C (2007) Fitting the independent factor analysis model using the MCMC algorithm. Journal of Statistical Computation and Simulation, 77, 725-37.
    • (2007) Journal of Statistical Computation and Simulation , vol.77 , pp. 725-737
    • Viroli, C.1
  • 36
    • 19044399684 scopus 로고    scopus 로고
    • Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
    • Yeoh E, Ross ME,et al.(2002) Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell, 1, 133-43.
    • (2002) Cancer Cell , vol.1 , pp. 133-143
    • Yeoh, E.1    Ross, M.E.2
  • 38
    • 33745590867 scopus 로고    scopus 로고
    • ArrayCluster: an analytic tool for clustering, data visualization and model finder on gene expression profiles
    • Yoshida R, Higuchi T, Imoto S and Miyano S (2006) ArrayCluster: an analytic tool for clustering, data visualization and model finder on gene expression profiles. Bioinformatics, 22, 1538-39.
    • (2006) Bioinformatics , vol.22 , pp. 1538-1539
    • Yoshida, R.1    Higuchi, T.2    Imoto, S.3    Miyano, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.