Bi-Sparse Unsupervised Feature Selection
Bi-Sparse Unsupervised Feature Selection
To efficiently deal with high-dimensional datasets in many areas, unsupervised feature selection (UFS) has become a rising technique for dimension reduction. Even though there are many UFS methods, most of them only consider the global structure of datasets by embedding a single sparse regularization or constraint. In this paper, we …