Selecting feature subset with sparsity and low redundancy for unsupervised learning

Title
Selecting feature subset with sparsity and low redundancy for unsupervised learning
Authors
Keywords
Unsupervised feature selection, Nonnegative spectral analysis, Sparsity and low redundancy
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 86, Issue -, Pages 210-223
Publisher
Elsevier BV
Online
2015-06-17
DOI
10.1016/j.knosys.2015.06.008

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