Unsupervised feature selection via self-paced learning and low-redundant regularization

no code implementations • 14 Dec 2021 • Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang

In this study, an unsupervised feature selection is proposed by integrating the framework of self-paced learning and subspace learning.

feature selection