Shuzhen Tu

HLR-UFS: Hessian-based Unsupervised Feature Selection using Low-Rank Approximation

Graph-based Laplacian regularization techniques have been extensively applied in unsupervised feature selection due to their capability in capturing the inherent structure of data. However, Laplacian regularization frequently results in a solution that is biased towards a constan...