Mixtures of factor analyzers with common factor loadings: Applications to the clustering and visualization of high-dimensional data

Baek, Jangsun, McLachlan, Geoffrey J. and Flack, Lloyd K. (2010) Mixtures of factor analyzers with common factor loadings: Applications to the clustering and visualization of high-dimensional data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 7: 1298-1309. doi:10.1109/TPAMI.2009.149


Author Baek, Jangsun
McLachlan, Geoffrey J.
Flack, Lloyd K.
Title Mixtures of factor analyzers with common factor loadings: Applications to the clustering and visualization of high-dimensional data
Journal name IEEE Transactions on Pattern Analysis and Machine Intelligence   Check publisher's open access policy
ISSN 0162-8828
1939-3539
Publication date 2010-07-01
Sub-type Article (original research)
DOI 10.1109/TPAMI.2009.149
Volume 32
Issue 7
Start page 1298
End page 1309
Total pages 12
Editor Ramin Zabih
Place of publication New York, NY, U.S.
Publisher IEEE (Institute for Electrical and Electronic Engineers)
Collection year 2011
Language eng
Formatted abstract
Mixtures of factor analyzers enable model-based density estimation to be undertaken for high-dimensional data, where the number of observations n is not very large relative to their dimension p. In practice, there is often the need to further reduce the number of parameters in the specification of the component-covariance matrices. To this end, we propose the use of common component-factor loadings, which considerably reduces further the number of parameters. Moreover, it allows the data to be displayed in low-dimensional plots.
© 2010 IEEE.
Keyword Normal mixture models
Mixtures of factor analyzers
Common factor loadings
Model-based clustering
Hidden Markov-models
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number 5184847.

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2011 Collection
Institute for Molecular Bioscience - Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 41 times in Thomson Reuters Web of Science Article | Citations
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Created: Sun, 30 May 2010, 10:04:56 EST