Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection

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Title
Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection
Authors
Keywords
Machine learning, Feature selection, Subspace learning, Unsupervised learning
Journal
PATTERN RECOGNITION
Volume 53, Issue -, Pages 87-101
Publisher
Elsevier BV
Online
2015-12-25
DOI
10.1016/j.patcog.2015.12.008

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