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Sparse PCA Via $l_{2, P}$-Norm Regularization for Unsupervised Feature Selection.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE(2023)

Cited 6|Views52
Key words
Unsupervised feature selection,principal component analysis,l(2,p)-norm,sparse learning
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