Yongjin Yuan

Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint

At data mining field, it is a fundamental problem to dispose of high-dimensional data. Many existing unsupervised methods select features by manifold learning or exploring spectral analysis, thus preserving the intrinsic structure of raw data. But most of them follow an assumption that all features…