SuperPCA: subspace analysis and an efficient algorithm for high-dimensional PCA

Irina-Beatrice Haas, Maike Meier, Yuji Nakatsukasa +1

Principal component analysis (PCA) is a fundamental tool to reduce the dimensionality of the data in many applications. PCA finds a few signal directions that contain most of the v…