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Laura Balzano

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Optimally Weighted PCA for High-Dimensional Heteroscedastic DataRobust and High-Dimensional Statistics (Simons Institute workshop, 2018)2018-10-29
Asymptotic analysis shows column-weighted PCA recovers a low-rank subspace better than unweighted PCA under heteroscedastic noise: with n,d → ∞ at fixed ratio…
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Subspace Clustering using Ensembles of K-SubspacesRandomized Numerical Linear Algebra and Applications 20182018-09-24
K-subspaces is NP-hard in worst case, so the practical method draws many random K-subspaces initializations, builds an averaged co-association matrix…
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