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Discrete Component Analysis

Wray Buntine·Aleks Jakulin
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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.

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Wray Buntine, Aleks Jakulin. 2006-04-18. Discrete Component Analysis. https://doi.org/10.1007/11752790_1

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