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A Parallel Coordinates Plot Method Based on Unsupervised Feature Selection for High-Dimensional Data Visualization
2021 International Wireless Communications and Mobile Computing (IWCMC)
◽
10.1109/iwcmc51323.2021.9498694
◽
2021
◽
Author(s):
Jiaqi Lou
◽
Ke Dong
◽
Maosen Wang
Keyword(s):
Feature Selection
◽
Data Visualization
◽
High Dimensional Data
◽
High Dimensional
◽
Parallel Coordinates
◽
Unsupervised Feature Selection
◽
Selection For
Download Full-text
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References
An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data
10.3390/ecea-5-06697
◽
2019
◽
Cited By ~ 1
Author(s):
Shao-Lun Huang
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Theoretic Approach
◽
Unsupervised Feature Selection
◽
Information Theoretic
◽
Selection For
◽
Information Theoretic Approach
Download Full-text
Hybrid fast unsupervised feature selection for high-dimensional data
Expert Systems with Applications
◽
10.1016/j.eswa.2019.01.016
◽
2019
◽
Vol 124
◽
pp. 97-118
◽
Cited By ~ 11
Author(s):
Zhaleh Manbari
◽
Fardin AkhlaghianTab
◽
Chiman Salavati
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Unsupervised Feature Selection
◽
Selection For
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An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data
IEEE Journal on Selected Areas in Information Theory
◽
10.1109/jsait.2020.2981538
◽
2020
◽
Vol 1
(1)
◽
pp. 157-166
Author(s):
Shao-Lun Huang
◽
Xiangxiang Xu
◽
Lizhong Zheng
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Theoretic Approach
◽
Unsupervised Feature Selection
◽
Information Theoretic
◽
Selection For
◽
Information Theoretic Approach
Download Full-text
An information-theoretic approach to unsupervised feature selection for high-dimensional data
2017 IEEE Information Theory Workshop (ITW)
◽
10.1109/itw.2017.8277927
◽
2017
◽
Cited By ~ 3
Author(s):
Shao-Lun Huang
◽
Lin Zhang
◽
Lizhong Zheng
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Theoretic Approach
◽
Unsupervised Feature Selection
◽
Information Theoretic
◽
Selection For
◽
Information Theoretic Approach
Download Full-text
Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data
Advances in Databases and Information Systems - Lecture Notes in Computer Science
◽
10.1007/978-3-030-82472-3_14
◽
2021
◽
pp. 183-197
Author(s):
Arnab Chakrabarti
◽
Abhijeet Das
◽
Michael Cochez
◽
Christoph Quix
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Unsupervised Feature Selection
◽
Selection For
◽
Efficient Exploration
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Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
◽
10.2991/iccsee.2013.583
◽
2013
◽
Author(s):
Lincheng Jiang
◽
Wentang Tan
◽
Zhenwen Wang
◽
Fengjing Yin
◽
Bin Ge
◽
...
Keyword(s):
Feature Selection
◽
Data Analysis
◽
Matrix Factorization
◽
Nonnegative Matrix Factorization
◽
High Dimensional Data
◽
Nonnegative Matrix
◽
High Dimensional
◽
High Dimensional Data Analysis
◽
Selection For
Download Full-text
Dynamic Feature Selection for Clustering High Dimensional Data Streams
IEEE Access
◽
10.1109/access.2019.2932308
◽
2019
◽
Vol 7
◽
pp. 127128-127140
◽
Cited By ~ 4
Author(s):
Conor Fahy
◽
Shengxiang Yang
Keyword(s):
Feature Selection
◽
Data Streams
◽
High Dimensional Data
◽
High Dimensional
◽
Dynamic Feature
◽
Selection For
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Feature Selection for High-Dimensional Data — A Pearson Redundancy Based Filter
Advances in Soft Computing - Computer Recognition Systems 2
◽
10.1007/978-3-540-75175-5_30
◽
2007
◽
pp. 242-249
◽
Cited By ~ 44
Author(s):
Jacek Biesiada
◽
Wlodzisław Duch
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
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Feature Selection for High Dimensional Data Using Weighted K-Nearest Neighbors and Genetic Algorithm
IEEE Access
◽
10.1109/access.2020.3012768
◽
2020
◽
Vol 8
◽
pp. 139512-139528
Author(s):
Shuangjie Li
◽
Kaixiang Zhang
◽
Qianru Chen
◽
Shuqin Wang
◽
Shaoqiang Zhang
Keyword(s):
Genetic Algorithm
◽
Feature Selection
◽
High Dimensional Data
◽
Nearest Neighbors
◽
High Dimensional
◽
K Nearest Neighbors
◽
Selection For
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Neighborhood Component Feature Selection for High-Dimensional Data
Journal of Computers
◽
10.4304/jcp.7.1.161-168
◽
2012
◽
Vol 7
(1)
◽
Cited By ~ 93
Author(s):
Wei Yang
◽
Kuanquan Wang
◽
Wangmeng Zuo
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
◽
Component Feature
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