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Low-rank feature selection for multi-view regression., , , , , , and . Multim. Tools Appl., 76 (16): 17479-17495 (2017)Using Locality Preserving Projections to Improve the Performance of Kernel Clustering., , , , and . Neural Process. Lett., 52 (3): 1827-1842 (2020)A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis., , and . Comput. Math. Methods Medicine, (2014)Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection., , , and . Neural Process. Lett., 52 (3): 1793-1809 (2020)One-step spectral rotation clustering with balanced constrains., , , and . World Wide Web, 25 (1): 259-280 (2022)Adaptive structure learning for low-rank supervised feature selection., , , and . Pattern Recognit. Lett., (2018)Spectral clustering based on hypergraph and self-re-presentation., , , , , and . Multim. Tools Appl., 76 (16): 17559-17576 (2017)Information Augmentation for Few-shot Node Classification., , , , , , and . IJCAI, page 3601-3607. ijcai.org, (2022)Unsupervised feature selection by self-paced learning regularization., , , , , and . Pattern Recognit. Lett., (2020)An Efficient Algorithm Combining Spectral Clustering with Feature Selection., , , and . Neural Process. Lett., 52 (3): 1913-1925 (2020)