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...

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Bibliographic Details
Main Authors: Nico Migenda, Ralf Möller, Wolfram Schenck
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0248896