Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization

Haiyan Jiang, Shanshan Qin, Oscar Hernan Madrid Padilla

In this paper, we consider a new variant for principal component analysis (PCA), aiming to capture the grouping and/or sparse structures of factor loadings simultaneously. To achie…