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. Author manuscript; available in PMC: 2019 Oct 24.
Published in final edited form as: J Mach Learn Res. 2019 Apr;20:66.

Figure 1:

Figure 1:

Proportion of variance explained by q PCs for each algorithm. Here PD1 is the accelerated proximal distance algorithm enforcing matrix sparsity, PD2 is the accelerated proximal distance algorithm enforcing column-wise sparsity, and SPC is the orthogonal sparse PCA method from PMA.