Non-Sparse PCA in High Dimensions via Cone Projected Power Iteration

1 code implementation • 15 May 2020 • Yufei Yi, Matey Neykov

Our numerical experiments on simulated and real data, show that our method achieves shorter run time and smaller error in comparison to the ordinary power iteration and some sparse principal component analysis algorithms if the principal eigenvector is in a convex cone.

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