Robust factored principal component analysis for matrix-valued outlier accommodation and detection

Xuan Ma, Jianhua Zhao, Yue Wang

Principal component analysis (PCA) is a popular dimension reduction technique for vector data. Factored PCA (FPCA) is a probabilistic extension of PCA for matrix data, which can su…