Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling

Chihao Zhang, Kuo Gai, Shihua Zhang

Principal component analysis (PCA) is one of the most widely used dimension reduction and multivariate statistical techniques. From a probabilistic perspective, PCA seeks a low-dim…