Subspace learning for unsupervised feature selection via matrix factorization

标题
Subspace learning for unsupervised feature selection via matrix factorization
作者
关键词
Machine learning, Feature selection, Unsupervised learning, Matrix factorization, Subspace distance, Kernel method
出版物
PATTERN RECOGNITION
Volume 48, Issue 1, Pages 10-19
出版商
Elsevier BV
发表日期
2014-08-16
DOI
10.1016/j.patcog.2014.08.004

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