Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning

Yixuan Qiu, Jing Lei, Kathryn Roeder

Sparse principal component analysis (PCA) is an important technique for dimensionality reduction of high-dimensional data. However, most existing sparse PCA algorithms are based on…