An Interpretable and Stable Framework for Sparse Principal Component Analysis

Ying Hu, Hu Yang

Sparse principal component analysis (SPCA) addresses the poor interpretability and variable redundancy often encountered by principal component analysis (PCA) in high-dimensional d…