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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...

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Detalhes bibliográficos
Main Authors: Chan, Kwokleung, Lee, Te-Won, Sejnowski, Terrence J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2002
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3072251/
https://ncbi.nlm.nih.gov/pubmed/21479123
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