📝 Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection 🔭

"By imposing PSD constraint and a regularization parameter setting strategy, it's proved that the optimal solution to a convex SPCA model is optimized on the PSD cone, which is equivalent to an orthogonal matrix." [gal30b+] 🤖 #CV

⚙️ https://github.com/liuyanfang023/KBS-RNE
🔗 https://arxiv.org/abs/2309.06202v1 #arxiv

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