Robust Spectral Learning for Unsupervised Feature Selection

Abstract

In this paper, we consider the problem of unsupervised feature selection. Recently, spectral feature selection algorithms, which leverage both graph Laplacian and spectral regression, have received increasing attention. However, existing spectral feature selection algorithms suffer from two major problems: 1) since the graph Laplacian is constructed from… (More)
DOI: 10.1109/ICDM.2014.58
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