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Redundant features removal for unsupervised spectral feature selection algorithms: an empirical study based on nonparametric sparse feature graph

Crossref DOI link: https://doi.org/10.1007/s41060-018-0167-1

Published Online: 2018-12-04

Published Print: 2019-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xu, Pengfei

Han, Shuchu https://orcid.org/0000-0002-3132-9138
Huang, Hao

Qin, Hong
Funding

Funding for this research was provided by:

NFS (IIS-1715985)
License Information

Text and Data Mining valid from 2018-12-04
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Article History

Received: 17 December 2017

Accepted: 27 November 2018

First Online: 4 December 2018