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

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Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Terms of use

Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/

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Date issued

2020

URI

https://hdl.handle.net/1721.1/135239

Department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Journal

IEEE Journal on Selected Areas in Information Theory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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• MIT Open Access Articles