Robust Bilinear Probabilistic Principal Component Analysis

Robust Bilinear Probabilistic Principal Component Analysis

Principal component analysis (PCA) is one of the most popular tools in multivariate exploratory data analysis. Its probabilistic version (PPCA) based on the maximum likelihood procedure provides a probabilistic manner to implement dimension reduction. Recently, the bilinear PPCA (BPPCA) model, which...

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Detalles Bibliográficos
Autores principales: Yaohang Lu, Zhongming Teng
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
2-D data
probabilistic principal component analysis
AECM algorithm
matrix variate Gaussian distributions
matrix variate <i>t</i> distributions
outliers
Industrial engineering. Management engineering
T55.4-60.8
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/a226d30d8ec741a4a23804bedfa1a54b
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https://doaj.org/article/a226d30d8ec741a4a23804bedfa1a54b

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