Can σ-PCA Unify Linear and Nonlinear PCA in Neural Models?

Original title: $σ$-PCA: a unified neural model for linear and nonlinear principal component analysis Authors: Fahdi Kanavati, Lucy Katsnith, Masayuki Tsuneki In this article, three methods—linear PCA, nonlinear PCA, and linear ICA—use single-layer autoencoders to…

Read more of Can σ-PCA Unify Linear and Nonlinear PCA in Neural Models?