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

Name

1910.03196.pdf

Description

Submitted version

Size

593.92 KB

Format

Adobe PDF

Checksum (MD5)

b31895b9fee23064889146c27b6bc75e

Original SWORD entry document

Author(s)

Huang, Shao-Lun

•

Xu, Xiangxiang

•

Zheng, Lizhong

Date Issued

2020

Journal

IEEE Journal on Selected Areas in Information Theory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

Original manuscript

MIT Department

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

Terms of Use

Creative Commons Attribution-Noncommercial-Share Alike

Persistent DSpace Link

DOI of Published Version

https://doi.org/10.1109/JSAIT.2020.2981538