An overview of variable selection methods in multivariate analysis of near-infrared spectra

TrAC Trends in Analytical Chemistry ◽

10.1016/j.trac.2019.01.018 ◽

2019 ◽

Vol 113 ◽

pp. 102-115 ◽

Author(s):

Yong-Huan Yun ◽

Hong-Dong Li ◽

Bai-Chuan Deng ◽

Dong-Sheng Cao

Keyword(s):

Multivariate Analysis ◽

Variable Selection ◽

Infrared Spectra ◽

Near Infrared ◽

Selection Methods ◽

Near Infrared Spectra

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Multivariate Analysis of Near-Infrared Spectra by Wavelet Domain Regression Using Genetic Algorithm

2010 Symposium on Photonics and Optoelectronics ◽

10.1109/sopo.2010.5504087 ◽

2010 ◽

Author(s):

Dan Peng ◽

Xia Li ◽

Kaina Dong ◽

Gaihong Zhang

Keyword(s):

Genetic Algorithm ◽

Multivariate Analysis ◽

Infrared Spectra ◽

Near Infrared ◽

Wavelet Domain ◽

Near Infrared Spectra

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Variable selection in visible and near-infrared spectra: Application to on-line determination of sugar content in pears

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2011.09.022 ◽

2012 ◽

Vol 109 (1) ◽

pp. 142-147 ◽

Author(s):

Huirong Xu ◽

Bing Qi ◽

Tong Sun ◽

Xiaping Fu ◽

Yibin Ying

Keyword(s):

Variable Selection ◽

Infrared Spectra ◽

Near Infrared ◽

Sugar Content ◽

Near Infrared Spectra ◽

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Multivariate Analysis of Near-Infrared Spectra Using the G-Programming Language

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci000447r ◽

2000 ◽

Vol 40 (5) ◽

pp. 1093-1100 ◽

Author(s):

Olusola O. Soyemi ◽

Marianna A. Busch ◽

Kenneth W. Busch

Keyword(s):

Multivariate Analysis ◽

Programming Language ◽

Infrared Spectra ◽

Near Infrared ◽

Near Infrared Spectra

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Selectivity for glucose, glucose-6-phosphate, and pyruvate in ternary mixtures from the multivariate analysis of near-infrared spectra

Analytical and Bioanalytical Chemistry ◽

10.1007/s00216-008-2475-0 ◽

2008 ◽

Vol 393 (2) ◽

pp. 669-677 ◽

Author(s):

Lingzhi Liu ◽

Mark A. Arnold

Keyword(s):

Multivariate Analysis ◽

Infrared Spectra ◽

Near Infrared ◽

Ternary Mixtures ◽

Near Infrared Spectra

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Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2019.07.001 ◽

2019 ◽

Vol 191 ◽

pp. 109-117 ◽

Author(s):

Kaiyi Zheng ◽

Tao Feng ◽

Wen Zhang ◽

Xiaowei Huang ◽

Zhihua Li ◽

...

Keyword(s):

Variable Selection ◽

Infrared Spectra ◽

Near Infrared ◽

Calibration Transfer ◽

Near Infrared Spectra

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Variable selection in near infrared spectra for the biological characterization of soil and earthworm casts

Soil Biology and Biochemistry ◽

10.1016/j.soilbio.2008.03.016 ◽

2008 ◽

Vol 40 (7) ◽

pp. 1975-1979 ◽

Author(s):

Lauric Cécillon ◽

Nathalie Cassagne ◽

Sonia Czarnes ◽

Raphaël Gros ◽

Jean-Jacques Brun

Keyword(s):

Variable Selection ◽

Infrared Spectra ◽

Near Infrared ◽

Biological Characterization ◽

Earthworm Casts ◽

Near Infrared Spectra

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Variable selection in near-infrared spectra: Application to quantitative non-destructive determination of protein content in wheat

Infrared Physics & Technology ◽

10.1016/j.infrared.2021.103937 ◽

2021 ◽

pp. 103937

Author(s):

Kewei Huan ◽

Xiao Chen ◽

Xuyao Song ◽

Wei Dong

Keyword(s):

Variable Selection ◽

Protein Content ◽

Infrared Spectra ◽

Near Infrared ◽

Near Infrared Spectra ◽

Non Destructive

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Multivariate analysis applied to near-infrared spectra of milk

Analytical Chemistry ◽

10.1021/ac00144a038 ◽

1987 ◽

Vol 59 (17) ◽

pp. 2187-2191 ◽

Author(s):

Paul. Robert ◽

Dominique. Bertrand ◽

Marie Francoise. Devaux ◽

Rene. Grappin

Keyword(s):

Multivariate Analysis ◽

Infrared Spectra ◽

Near Infrared ◽

Near Infrared Spectra

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An improved weighted multiplicative scatter correction algorithm with the use of variable selection: Application to near-infrared spectra

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2019.01.005 ◽

2019 ◽

Vol 185 ◽

pp. 114-121 ◽

Author(s):

Yifan Wu ◽

Silong Peng ◽

Qiong Xie ◽

Quanjie Han ◽

Genwei Zhang ◽

...

Keyword(s):

Variable Selection ◽

Infrared Spectra ◽

Near Infrared ◽

Scatter Correction ◽

Correction Algorithm ◽

Multiplicative Scatter Correction ◽

Near Infrared Spectra

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Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: A case study to determine soluble solids content of beer

Analytica Chimica Acta ◽

10.1016/j.aca.2009.01.017 ◽

2009 ◽

Vol 635 (1) ◽

pp. 45-52 ◽

Author(s):

Fei Liu ◽

Yihong Jiang ◽

Yong He

Keyword(s):

Variable Selection ◽

Infrared Spectra ◽

Near Infrared ◽

Soluble Solids ◽

Soluble Solids Content ◽

Near Infrared Spectra ◽

Linear And Nonlinear ◽

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