A Robust Optimization Approach to Sparse Principal Component Analysis

David Vävinggren, Francis Bach, André M. H. Teixeira +2

While principal component analysis (PCA) is a fundamental tool for dimensionality reduction, its dense representations make it ill-suited for high-dimensional data. Existing method…