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Subspace learning for unsupervised feature selection via matrix factorization
Pattern Recognition
◽
10.1016/j.patcog.2014.08.004
◽
2015
◽
Vol 48
(1)
◽
pp. 10-19
◽
Cited By ~ 69
Author(s):
Shiping Wang
◽
Witold Pedrycz
◽
Qingxin Zhu
◽
William Zhu
Keyword(s):
Feature Selection
◽
Matrix Factorization
◽
Subspace Learning
◽
Unsupervised Feature Selection
Download Full-text
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References
Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection
IEEE Transactions on Circuits and Systems for Video Technology
◽
10.1109/tcsvt.2017.2783364
◽
2019
◽
Vol 29
(2)
◽
pp. 404-417
◽
Cited By ~ 8
Author(s):
Nan Zhou
◽
Yangyang Xu
◽
Hong Cheng
◽
Zejian Yuan
◽
Badong Chen
Keyword(s):
Feature Selection
◽
Subspace Learning
◽
Unsupervised Feature Selection
◽
Maximum Correntropy Criterion
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Structured learning for unsupervised feature selection with high-order matrix factorization
Expert Systems with Applications
◽
10.1016/j.eswa.2019.112878
◽
2020
◽
Vol 140
◽
pp. 112878
◽
Cited By ~ 3
Author(s):
Shiping Wang
◽
Jiawei Chen
◽
Wenzhong Guo
◽
Genggeng Liu
Keyword(s):
Feature Selection
◽
Matrix Factorization
◽
High Order
◽
Structured Learning
◽
Unsupervised Feature Selection
◽
Order Matrix
Download Full-text
Unsupervised feature selection by regularized matrix factorization
Neurocomputing
◽
10.1016/j.neucom.2017.08.047
◽
2018
◽
Vol 273
◽
pp. 593-610
◽
Cited By ~ 10
Author(s):
Miao Qi
◽
Ting Wang
◽
Fucong Liu
◽
Baoxue Zhang
◽
Jianzhong Wang
◽
...
Keyword(s):
Feature Selection
◽
Matrix Factorization
◽
Unsupervised Feature Selection
Download Full-text
Subspace learning for unsupervised feature selection via adaptive structure learning and rank approximation
Neurocomputing
◽
10.1016/j.neucom.2020.06.111
◽
2020
◽
Vol 413
◽
pp. 72-84
Author(s):
Ronghua Shang
◽
Kaiming Xu
◽
Licheng Jiao
Keyword(s):
Feature Selection
◽
Structure Learning
◽
Subspace Learning
◽
Unsupervised Feature Selection
◽
Adaptive Structure
◽
Rank Approximation
Download Full-text
Robust unsupervised feature selection via matrix factorization
Neurocomputing
◽
10.1016/j.neucom.2017.02.034
◽
2017
◽
Vol 241
◽
pp. 115-127
◽
Cited By ~ 20
Author(s):
Shiqiang Du
◽
Yide Ma
◽
Shouliang Li
◽
Yurun Ma
Keyword(s):
Feature Selection
◽
Matrix Factorization
◽
Unsupervised Feature Selection
Download Full-text
Discriminative sparse subspace learning and its application to unsupervised feature selection
ISA Transactions
◽
10.1016/j.isatra.2015.12.011
◽
2016
◽
Vol 61
◽
pp. 104-118
◽
Cited By ~ 7
Author(s):
Nan Zhou
◽
Hong Cheng
◽
Witold Pedrycz
◽
Yong Zhang
◽
Huaping Liu
Keyword(s):
Feature Selection
◽
Subspace Learning
◽
Unsupervised Feature Selection
Download Full-text
Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection
IEEE Transactions on Cybernetics
◽
10.1109/tcyb.2020.3034462
◽
2020
◽
pp. 1-13
Author(s):
Aihong Yuan
◽
Mengbo You
◽
Dongjian He
◽
Xuelong Li
Keyword(s):
Feature Selection
◽
Matrix Factorization
◽
Unsupervised Feature Selection
◽
Non Negative Matrix Factorization
Download Full-text
Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving
Information Sciences
◽
10.1016/j.ins.2021.11.068
◽
2021
◽
Author(s):
Chuan Luo
◽
Jian Zheng
◽
Tianrui Li
◽
Hongmei Chen
◽
Yanyong Huang
◽
...
Keyword(s):
Feature Selection
◽
Matrix Factorization
◽
Unsupervised Feature Selection
Download Full-text
Robust Sparse Subspace Learning for unsupervised feature selection
2016 International Joint Conference on Neural Networks (IJCNN)
◽
10.1109/ijcnn.2016.7727748
◽
2016
◽
Author(s):
Feng Wang
◽
Qi Rao
◽
Yongquan Zhang
◽
Xu Chen
Keyword(s):
Feature Selection
◽
Subspace Learning
◽
Unsupervised Feature Selection
Download Full-text
Joint self-representation and subspace learning for unsupervised feature selection
World Wide Web
◽
10.1007/s11280-017-0508-3
◽
2017
◽
Vol 21
(6)
◽
pp. 1745-1758
◽
Cited By ~ 3
Author(s):
Ruili Wang
◽
Ming Zong
Keyword(s):
Feature Selection
◽
Subspace Learning
◽
Unsupervised Feature Selection
Download Full-text
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