Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Unsupervised feature selection via maximum projection and minimum redundancy — Shiping Wang (2014) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Unsupervised feature selection via maximum projection and minimum redundancy
Shared by
Witold Pedrycz
University of Alberta
Unsupervised feature selection via maximum projection and minimum redundancy
Article
2014
en
Authors
+1 more
SW
Shiping Wang
Witold Pedrycz
University of Alberta
QZ
Qingxin Zhu
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2014
Subspace learning for unsupervised feature selection via matrix factorization
Shiping Wang
,
Witold Pedrycz
,
Qingxin Zhu
,
William Zhu
Article
2016
Regularization feature selection projection twin support vector machine via exterior penalty
Ping Yi
,
Aiguo Song
,
Jianhui Guo
,
Ruili Wang
Article
2014
Unsupervised feature selection by regularized self-representation
Pengfei Zhu
,
Wangmeng Zuo
,
Lei Zhang
,
Qinghua Hu
,
Simon Shiu
Article
2016
Unsupervised feature selection by nonnegative sparsity adaptive subspace learning
Nan Zhou
,
Hong Cheng
,
Yali Zheng
,
Liangtian He
,
Witold Pedrycz
Article
2016
Discriminative sparse subspace learning and its application to unsupervised feature selection
Nan Zhou
,
Hong Cheng
,
Witold Pedrycz
,
Yong Zhang
,
Huaping Liu
Discussion(0)
No comments yet. Be the first to comment.