Discrete component analysis

Wray Buntine, Aleks Jakulin

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

38 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 languageEnglish
Title of host publicationSubspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005, Revised Selected Papers
PublisherSpringer-Verlag London Ltd.
Pages1-33
Number of pages33
ISBN (Print)3540341374, 9783540341376
DOIs
Publication statusPublished - 1 Jan 2006
Externally publishedYes
EventSubspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005 - Bohinj, Slovenia
Duration: 23 Feb 200525 Feb 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3940 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceSubspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005
CountrySlovenia
CityBohinj
Period23/02/0525/02/05

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