Discrete component analysis

Wray Buntine; Aleks Jakulin

doi:10.1007/11752790_1

Discrete component analysis

Wray Buntine, Aleks Jakulin

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

46 Citations (Scopus)

Abstract

This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-negative matrix factorisation and latent Dirichlet allocation. The main families of algorithms discussed are a variational approximation, Gibbs sampling, and Rao-Blackwellised Gibbs sampling. Applications are presented for voting records from the United States Senate for 2003, and for the Reuters-21578 newswire collection.

Original language	English
Title of host publication	Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers
Publisher	Springer-Verlag London Ltd.
Pages	1-33
Number of pages	33
ISBN (Print)	3540341374, 9783540341376
DOIs	https://doi.org/10.1007/11752790_1
Publication status	Published - 1 Jan 2006
Externally published	Yes
Event	Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005 - Bohinj, Slovenia Duration: 23 Feb 2005 → 25 Feb 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3940 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005
Country/Territory	Slovenia
City	Bohinj
Period	23/02/05 → 25/02/05

Access to Document

10.1007/11752790_1

Cite this

Buntine, W., & Jakulin, A. (2006). Discrete component analysis. In Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers (pp. 1-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3940 LNCS). Springer-Verlag London Ltd.. https://doi.org/10.1007/11752790_1

Buntine, Wray ; Jakulin, Aleks. / Discrete component analysis. Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers. Springer-Verlag London Ltd., 2006. pp. 1-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Buntine, W & Jakulin, A 2006, Discrete component analysis. in Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3940 LNCS, Springer-Verlag London Ltd., pp. 1-33, Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, 23/02/05. https://doi.org/10.1007/11752790_1

Discrete component analysis. / Buntine, Wray; Jakulin, Aleks.
Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers. Springer-Verlag London Ltd., 2006. p. 1-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3940 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-negative matrix factorisation and latent Dirichlet allocation. The main families of algorithms discussed are a variational approximation, Gibbs sampling, and Rao-Blackwellised Gibbs sampling. Applications are presented for voting records from the United States Senate for 2003, and for the Reuters-21578 newswire collection.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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PB - Springer-Verlag London Ltd.

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Y2 - 23 February 2005 through 25 February 2005

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Buntine W, Jakulin A. Discrete component analysis. In Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers. Springer-Verlag London Ltd. 2006. p. 1-33. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11752790_1

Discrete component analysis

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