(Q105583788)

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Modelling high-dimensional data by mixtures of factor analyzers

scholarly article from 'Computational Statistics & Data Analysis' published in 2003

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https://linkinghub.elsevier.com/retrieve/pii/S0167947302001834

title

Modelling high-dimensional data by mixtures of factor analyzers (English)

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https://linkinghub.elsevier.com/retrieve/pii/S0167947302001834

main subject

high-dimensional data

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G.J. McLachlan

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1

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D. Peel

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R.W. Bean

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English

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publication date

January 2003

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full work available at URL

https://linkinghub.elsevier.com/retrieve/pii/S0167947302001834

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volume

41

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issue

3-4

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page(s)

379-388

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Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

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Modeling the Manifolds of Images of Handwritten Digits

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Maximum likelihood estimation via the ECM algorithm: A general framework

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Estimating the Dimension of a Model

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Mixtures of Probabilistic Principal Component Analyzers

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Bayesian analysis of mixtures of factor analyzers

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Identifiers

DOI

10.1016/S0167-9473(02)00183-4

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https://linkinghub.elsevier.com/retrieve/pii/S0167947302001834

zbMATH Open document ID

1256.62036

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(Q105583788)

Modelling high-dimensional data by mixtures of factor analyzers

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