Unsupervised feature selection via maximum projection and minimum redundancy

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Title
Unsupervised feature selection via maximum projection and minimum redundancy
Authors
Keywords
Machine learning, Feature selection, Unsupervised learning, Matrix factorization, Kernel method, Minimum redundancy
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 75, Issue -, Pages 19-29
Publisher
Elsevier BV
Online
2014-11-25
DOI
10.1016/j.knosys.2014.11.008

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