Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization

Ziyuan Lin, Deanna Needell

By removing irrelevant and redundant features, feature selection aims to find a good representation of the original features. With the prevalence of unlabeled data, unsupervised fe…