SVM-RFE

Support vector machine recursive feature elimination (SVM-RFE) with correlation bias reduction. SVM-RFE is a powerful feature selection algorithm in bioinformatics. It is a good choice to avoid overfitting when the number of features is high.
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Topics

Data miningBiomedical scienceBioinformaticsBiology

Collections

File ExchangeMATLAB

Details

Cost:
Free of charge (with restrictions)
Tool Type:
library
Operating Systems:
Windows, Linux, Mac
Programming Languages:
MATLAB
Added:
5/5/2021
Last Updated:
5/23/2021

Operations

Publications

Yan K, Zhang D. Feature selection and analysis on correlated gas sensor data with recursive feature elimination. Sensors and Actuators B: Chemical. 2015;212:353-363. doi:10.1016/j.snb.2015.02.025.

Funding: - Natural Science Foundation of China (NSFC): 61020106004, 61101150, 61271344, 61272292, 61332011, 61401048 - Hong Kong Polytechnic University, The National Basic Research Program of China: 2011CB505404 - Shenzhen Fundamental Research fund: JCYJ20130401152508661 - Shenzhen special fund for the Strategic Development of Emerging Industries: JCYJ20120831165730901

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