AI RESEARCH
Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
arXiv CS.LG
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ArXi:2512.18720v2 Announce Type: replace-cross Effective feature selection is essential for high-dimensional data analysis and machine learning. Unsupervised feature selection (UFS) aims to simultaneously cluster data and identify the most discriminative features.