Cheolwoo Park

Geometry-preserving and interpretable dimension reduction for compositional data

2025 · ArXiv.org

High-dimensional compositional data pose unique statistical challenges due to the simplex constraint and excess zeros. While dimension reduction is indispensable for analyzing such data, conventional approaches often rely on log-ratio transformations that compromise interpretability and …