A Novel Variable Selection Method Based on Binning-Normalized Mutual Information for Multivariate Calibration

A Novel Variable Selection Method Based on Binning-Normalized Mutual Information for Multivariate Calibration

Variable (wavelength) selection is essential in the multivariate analysis of near-infrared spectra to improve model performance and provide a more straightforward interpretation. This paper proposed a new variable selection method named binning-normalized mutual information (B-NMI) based on informat...

Full description

Bibliographic Details
Main Authors: Liang Zhong, Ruiqi Huang, Lele Gao, Jianan Yue, Bing Zhao, Lei Nie, Lian Li, Aoli Wu, Kefan Zhang, Zhaoqing Meng, Guiyun Cao, Hui Zhang, Hengchang Zang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Molecules
Subjects:
variable selection
near-infrared spectroscopy
data binning
normalized mutual information
Online Access:https://www.mdpi.com/1420-3049/28/15/5672

Internet

https://www.mdpi.com/1420-3049/28/15/5672

Similar Items