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math.OC2025
Bi-Sparse Unsupervised Feature Selection
Xianchao Xiu, Chenyi Huang, Pan Shang +1
To deal with high-dimensional unlabeled datasets in many areas, principal component analysis (PCA) has become a rising technique for unsupervised feature selection (UFS). However,…
math.OC2025
Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
Xianchao Xiu, Anning Yang, Chenyi Huang +2
Unsupervised feature selection (UFS) is widely applied in machine learning and pattern recognition. However, most of the existing methods only consider a single sparsity, which mak…