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Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links.

, , , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 272-287. Springer, (2017)

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t-BNE: Tensor-based Brain Network Embedding., , , , , , and . SDM, page 189-197. SIAM, (2017)Efficient Partial Order Preserving Unsupervised Feature Selection on Networks., , and . SDM, page 82-90. SIAM, (2015)Online Unsupervised Multi-view Feature Selection., , , , and . ICDM, page 1203-1208. IEEE Computer Society, (2016)Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks., , , , , , and . ICBK, page 131-138. IEEE Computer Society, (2018)Optimal Rotational Angular Velocity Determination Method Based on Compound Rotary Semi-Strapdown Inertial Navigation System., , , , , , , , and . Sensors, 22 (12): 4583 (2022)Unsupervised Feature Selection by Preserving Stochastic Neighbors., and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 995-1003. JMLR.org, (2016)Nonlinear Joint Unsupervised Feature Selection., , and . SDM, page 414-422. SIAM, (2016)Multi-view unsupervised feature selection by cross-diffused matrix alignment., , and . IJCNN, page 494-501. IEEE, (2017)Unsupervised Feature Selection on Networks: A Generative View., , and . AAAI, page 2215-2221. AAAI Press, (2016)Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network., , , and . IEEE BigData, page 1245-1250. IEEE, (2019)