A novel hybrid system for feature selection based on an improved gravitational search algorithm and k-NN method

Abstract

Feature selection is an important pre-processing step for solving classification problems. This problem is often solved by applying evolutionary algorithms in order to decrease the dimensional number of features involved. In this paper, we propose a novel hybrid system to improve classification accuracy with an appropriate feature subset in binary problems… (More)
DOI: 10.1016/j.asoc.2015.01.043

Topics

20 Figures and Tables

Cite this paper

@article{Xiang2015ANH, title={A novel hybrid system for feature selection based on an improved gravitational search algorithm and k-NN method}, author={Jie Xiang and XiaoHong Han and Fu Duan and Yan Qiang and Xiaoyan Xiong and Yuan Lan and Haishui Chai}, journal={Appl. Soft Comput.}, year={2015}, volume={31}, pages={293-307} }