2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
ICML 2021spotlight
This paper studies Principal Component Analysis (PCA) for data lying in hyperbolic spaces. Given directions, PCA relies on: (1) a parameterization of subspaces spanned by these directions, (2) a method of projection onto subspaces that preserves information in these directions, and (3) an objective…