PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes

no code implementations • 23 May 2022 • Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati3, Mohsen Kamandar Dezfouli, Jens H. Schmid, Pavel Cheben, Siegfried Janz, Dan-Xia Xu

We show that our proposed approach is substantially better than both PCA and randomly initialized AE in the majority of low-data regime cases we consider, or at least is comparable to the best of either of the other two methods.

Dimensionality Reduction