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

出版年份 2016 全文链接

标题

作者

关键词

Machine learning, Feature selection, Subspace learning, Unsupervised learning

出版物

Volume 53, Issue -, Pages 87-101

出版商

Elsevier BV

发表日期

2015-12-25

DOI

10.1016/j.patcog.2015.12.008

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