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Sparse PCA via $\ell _{2,p}$ℓ2,p-Norm Regularization for Unsupervised Feature Selection.
Zhengxin Li
Feiping Nie
Jintang Bian
Danyang Wu
Xuelong Li
Published in:
IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
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unsupervised feature selection
feature selection
sparse representation
data clustering
matrix completion
negative matrix factorization
objective function
pattern recognition
training set
k means
semi supervised
dimensionality reduction
signal processing
super resolution
total variation
convex optimization