A More Flexible and Robust Feature Selection Algorithm

Author:

Tu Tianyi1ORCID,Su Ye1ORCID,Tang Yayuan2,Tan Wenxue1,Ren Sheng1ORCID

Affiliation:

1. School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China

2. School of Information Engineering, Hunan University of Science and Engineering, Yongzhou, China

Funder

Natural Science Foundation of China

National Science Foundation of Hunan Province

Scientific Research Project of Hunan Provincial Department of Education

Hunan University of Arts and Sciences Ph.D. Start-Up Project

Construct Program of Applied Characteristic Discipline at the Hunan University of Science and Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference47 articles.

1. A novel hybrid feature selection method based on rough set and improved harmony search

2. Correlation-based feature selection for machine learning;Hall,1999

3. Completed sample correlations and feature dependency-based unsupervised feature selection

4. An introduction to variable and feature selection;Guyon;J. Mach. Learn. Res.,2003

5. Comparative study of attribute selection using gain ratio and correlation based feature selection;Karegowda;Int. J. Inf. Technol. Knowl. Manag.,2010

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