Geometry-preserving and interpretable dimension reduction for compositional data

Junyoung Park, Cheolwoo Park, Jeongyoun Ahn

High-dimensional compositional data pose unique statistical challenges due to the simplex constraint and excess zeros. While dimension reduction is indispensable for analyzing such…