An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

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Bibliographic Details
Main Authors:	Huang, Shao-Lun, Xu, Xiangxiang, Zheng, Lizhong
Other Authors:	Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:	https://hdl.handle.net/1721.1/135239

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