Adaptive dimensionality reduction for neural network-based online principal component analysis

“Principal Component Analysis” (PCA) is an established linear technique for dimensionality reduction. It performs an orthonormal transformation to replace possibly correlated variables with a smaller set of linearly independent variables, the so-called principal components, which capture a large por...

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Detalles Bibliográficos
Autores principales: Migenda, Nico, Möller, Ralf, Schenck, Wolfram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009402/
https://www.ncbi.nlm.nih.gov/pubmed/33784333
http://dx.doi.org/10.1371/journal.pone.0248896

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009402/
https://www.ncbi.nlm.nih.gov/pubmed/33784333
http://dx.doi.org/10.1371/journal.pone.0248896

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