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SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA

We develop a new principal components analysis (PCA) type dimension reduction method for binary data. Different from the standard PCA which is defined on the observed data, the proposed PCA is defined on the logit transform of the success probabilities of the binary observations. Sparsity is introdu...

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Detalhes bibliográficos
Main Authors: Lee, Seokho, Huang, Jianhua Z., Hu, Jianhua
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2992445/
https://ncbi.nlm.nih.gov/pubmed/21116451
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/10-AOAS327SUPP
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