Spectral Self-supervised Feature Selection

Daniel Segal, Ofir Lindenbaum, Ariel Jaffe

Choosing a meaningful subset of features from high-dimensional observations in unsupervised settings can greatly enhance the accuracy of downstream analysis, such as clustering or…