Classification of 1-methylcyclopropene treated apples by fluorescence fingerprint using partial least squares discriminant analysis with stepwise selectivity ratio variable selection method

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2018.02.004 ◽

2018 ◽

Vol 175 ◽

pp. 30-36 ◽

Cited By ~ 5

Author(s):

Vipavee Trivittayasil ◽

Mizuki Tsuta ◽

Satoshi Kasai ◽

Yosuke Matsuo ◽

Yasuyo Sekiyama ◽

...

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Selection Method ◽

Selectivity Ratio ◽

Variable Selection Method

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Recursive weighted partial least squares (rPLS): an efficient variable selection method using PLS

Journal of Chemometrics ◽

10.1002/cem.2582 ◽

2013 ◽

Vol 28 (5) ◽

pp. 439-447 ◽

Cited By ~ 43

Author(s):

Åsmund Rinnan ◽

Martin Andersson ◽

Carsten Ridder ◽

Søren Balling Engelsen

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Selection Method ◽

Variable Selection Method

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Classification of gas chromatographic fingerprints of saffron using partial least squares discriminant analysis together with different variable selection methods

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2016.09.002 ◽

2016 ◽

Vol 158 ◽

pp. 165-173 ◽

Cited By ~ 28

Author(s):

Ghazaleh Aliakbarzadeh ◽

Hadi Parastar ◽

Hassan Sereshti

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Selection Methods ◽

Chromatographic Fingerprints

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Comparison of partial least squares‐discriminant analysis and soft independent modeling of class analogy methods for classification of Saccharomyces cerevisiae cells based on mid‐infrared spectroscopy

Journal of Chemometrics ◽

10.1002/cem.3340 ◽

2021 ◽

Author(s):

Pedro Sousa Sampaio ◽

Cecília R. C. Calado

Keyword(s):

Saccharomyces Cerevisiae ◽

Infrared Spectroscopy ◽

Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Mid Infrared ◽

Mid Infrared Spectroscopy

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Advances in variable selection methods II: Effect of variable selection method on classification of hydrologically similar watersheds in three Mid-Atlantic ecoregions

Journal of Hydrology ◽

10.1016/j.jhydrol.2012.01.035 ◽

2012 ◽

Vol 438-439 ◽

pp. 26-38 ◽

Cited By ~ 20

Author(s):

H. Ssegane ◽

E.W. Tollner ◽

Y.M. Mohamoud ◽

T.C. Rasmussen ◽

J.F. Dowd

Keyword(s):

Variable Selection ◽

Selection Method ◽

Selection Methods ◽

Variable Selection Method

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An Efficient Variable Selection Method for Predictive Discriminant Analysis

Annals of Data Science ◽

10.1007/s40745-015-0061-9 ◽

2015 ◽

Vol 2 (4) ◽

pp. 489-504 ◽

Cited By ~ 1

Author(s):

A. Iduseri ◽

J. E. Osemwenkhae

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Selection Method ◽

Variable Selection Method ◽

Predictive Discriminant Analysis

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An online variable selection method using recursive least squares

Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012) ◽

10.1109/etfa.2012.6489623 ◽

2012 ◽

Author(s):

Francisco Souza ◽

Rui Araujo

Keyword(s):

Variable Selection ◽

Least Squares ◽

Selection Method ◽

Recursive Least Squares ◽

Variable Selection Method

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A consistent variable selection method in high-dimensional canonical discriminant analysis

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2019.104561 ◽

2020 ◽

Vol 175 ◽

pp. 104561 ◽

Cited By ~ 1

Author(s):

Ryoya Oda ◽

Yuya Suzuki ◽

Hirokazu Yanagihara ◽

Yasunori Fujikoshi

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Selection Method ◽

Canonical Discriminant Analysis ◽

High Dimensional ◽

Variable Selection Method

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A PRACTICAL VARIABLE SELECTION METHOD FOR GENERALIZED LEAST SQUARES AND ITS APPLICATION

Journal of the Operations Research Society of Japan ◽

10.15807/jorsj.30.422 ◽

1987 ◽

Vol 30 (4) ◽

pp. 422-433

Author(s):

Haruo Onishi

Keyword(s):

Variable Selection ◽

Least Squares ◽

Generalized Least Squares ◽

Selection Method ◽

Variable Selection Method

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Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS)

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2016.05.006 ◽

2016 ◽

Vol 156 ◽

pp. 1-6 ◽

Cited By ~ 14

Author(s):

Yulia B. Monakhova ◽

Monika Hohmann ◽

Norbert Christoph ◽

Helmut Wachter ◽

Douglas N. Rutledge

Keyword(s):

Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Synergetic Effect ◽

Common Components

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Classification of Fusarium-Infected Korean Hulled Barley Using Near-Infrared Reflectance Spectroscopy and Partial Least Squares Discriminant Analysis

Sensors ◽

10.3390/s17102258 ◽

2017 ◽

Vol 17 (10) ◽

pp. 2258 ◽

Cited By ~ 3

Author(s):

Jongguk Lim ◽

Giyoung Kim ◽

Changyeun Mo ◽

Kyoungmin Oh ◽

Hyeonchae Yoo ◽

...

Keyword(s):

Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Near Infrared ◽

Reflectance Spectroscopy ◽

Infrared Reflectance ◽

Near Infrared Reflectance Spectroscopy ◽

Near Infrared Reflectance ◽

Hulled Barley

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