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<pubDate>Sat, 26 Jul 2008 07:43:10 BST</pubDate>


	<title>CiteULike: mshafiei's pca</title>
	<description>CiteULike: mshafiei's pca</description>


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    <title>Discrete Component Analysis</title>
    <link>http://www.citeulike.org/user/mshafiei/article/1786423</link>
    <description>&lt;i&gt;&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;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.</description>
    <dc:title>Discrete Component Analysis</dc:title>

    <dc:creator>Wray Buntine</dc:creator>
    <dc:creator>Aleks Jakulin</dc:creator>
    <dc:date>2007-10-19T00:52:15-00:00</dc:date>
    <prism:category>lda</prism:category>
    <prism:category>model</prism:category>
    <prism:category>pca</prism:category>
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