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Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components

We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetrically distributed. The data are modeled by clusters where each cluster is described as a linear mixture of independent factor...

詳細記述

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書誌詳細
主要な著者: Chan, Kwokleung, Lee, Te-Won, Sejnowski, Terrence J.
フォーマット: Artigo
言語:Inglês
出版事項: 2002
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3072251/
https://ncbi.nlm.nih.gov/pubmed/21479123
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