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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Weighted k-nearest neighbors feature selection for high-dimensional multi-class data

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) ◽

10.1109/smc.2019.8914434 ◽

2019 ◽

Author(s):

Peter Bugata ◽

Peter Drotar

Keyword(s):

Feature Selection ◽

Nearest Neighbors ◽

High Dimensional ◽

K Nearest Neighbors ◽

Selection For

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Incorporating genetic algorithm into rough feature selection for high dimensional biomedical data

2011 IEEE International Symposium on IT in Medicine and Education ◽

10.1109/itime.2011.6132040 ◽

2011 ◽

Cited By ~ 1

Author(s):

Vinh Quoc Dang ◽

Chiou-Peng Lam ◽

Chang Su Lee

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

High Dimensional ◽

Biomedical Data ◽

Selection For

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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

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Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm

Applications of Evolutionary Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-55849-3_33 ◽

2017 ◽

pp. 506-521 ◽

Cited By ~ 3

Author(s):

Claudio De Stefano ◽

Francesco Fontanella ◽

Alessandra Scotto di Freca

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

High Dimensional Data ◽

High Dimensional

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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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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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Local-Learning-Based Feature Selection for High-Dimensional Data Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2009.190 ◽

2010 ◽

Vol 32 (9) ◽

pp. 1610-1626 ◽

Cited By ~ 188

Author(s):

Yijun Sun ◽

Sinisa Todorovic ◽

Steve Goodison

Keyword(s):

Feature Selection ◽

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Local Learning ◽

High Dimensional Data Analysis ◽

Selection For

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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

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Feature Selection for Small Sample Sets with High Dimensional Data Using Heuristic Hybrid Approach

International Journal of Engineering ◽

10.5829/ije.2020.33.02b.05 ◽

2020 ◽

Vol 33 (2) ◽

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

Hybrid Approach ◽

Small Sample ◽

High Dimensional ◽

Selection For

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