Analysis of new variable selection methods for discriminant analysis

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2006.04.019 ◽

2006 ◽

Vol 51 (3) ◽

pp. 1463-1478 ◽

Author(s):

Joaquín Pacheco ◽

Silvia Casado ◽

Laura Núñez ◽

Olga Gómez

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Selection Methods

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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 ◽

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 variable selection methods prior to linear discriminant analysis classification of synthetic phenethylamines and tryptamines

Forensic Chemistry ◽

10.1016/j.forc.2018.10.002 ◽

2018 ◽

Vol 11 ◽

pp. 77-86 ◽

Author(s):

Amanda L. Setser ◽

Ruth Waddell Smith

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Linear Discriminant Analysis ◽

Selection Methods ◽

Linear Discriminant

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Variable Reduction and Variable Selection Methods Using Small, Medium and Large Datasets: A Forecast Comparison for the PEEIs

SSRN Electronic Journal ◽

10.2139/ssrn.2444421 ◽

2014 ◽

Author(s):

George Kapetanios ◽

Massimiliano Giuseppe Marcellino ◽

Fotis Papailias

Keyword(s):

Variable Selection ◽

Large Datasets ◽

Selection Methods ◽

Variable Reduction ◽

Forecast Comparison

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Variable selection methods for identifying predictor interactions in data with repeatedly measured binary outcomes

Journal of Clinical and Translational Science ◽

10.1017/cts.2020.556 ◽

2020 ◽

pp. 1-31

Author(s):

Bethany J. Wolf ◽

Yunyun Jiang ◽

Silvia H. Wilson ◽

Jim C. Oates

Keyword(s):

Variable Selection ◽

Binary Outcomes ◽

Selection Methods

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Mahalanobis Distance Based Similarity Regression Learning of NIRS for Quality Assurance of Tobacco Product with Different Variable Selection Methods

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2020.119364 ◽

2020 ◽

pp. 119364

Author(s):

Juan Huo ◽

Yuping Ma ◽

Huaiqi Li ◽

Changtong Lu ◽

Chenggang Li ◽

...

Keyword(s):

Quality Assurance ◽

Variable Selection ◽

Mahalanobis Distance ◽

Tobacco Product ◽

Selection Methods ◽

Regression Learning

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Variable selection in discriminant analysis for mixed continuous-binary variables and several groups

Advances in Data Analysis and Classification ◽

10.1007/s11634-018-0343-0 ◽

2018 ◽

Vol 13 (3) ◽

pp. 773-795

Author(s):

Alban Mbina Mbina ◽

Guy Martial Nkiet ◽

Fulgence Eyi Obiang

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Binary Variables

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Combined performance of screening and variable selection methods in ultra-high dimensional data in predicting time-to-event outcomes

Diagnostic and Prognostic Research ◽

10.1186/s41512-018-0043-4 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Lira Pi ◽

Susan Halabi

Keyword(s):

Variable Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Selection Methods ◽

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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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Variable Selection Methods in QSAR: An Overview

Current Topics in Medicinal Chemistry ◽

10.2174/156802608786786552 ◽

2008 ◽

Vol 8 (18) ◽

pp. 1606-1627 ◽

Author(s):

Maykel Gonzalez ◽

Carmen Teran ◽

Liane Saiz-Urra ◽

Marta Teijeira

Keyword(s):

Variable Selection ◽

Selection Methods

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Variable selection methods for water demand forecasting in Ethiopia: Case study Gondar town

Cogent Environmental Science ◽

10.1080/23311843.2018.1537067 ◽

2018 ◽

Vol 4 (1) ◽

pp. 1537067 ◽

Author(s):

Mohammed Gedefaw ◽

Wang Hao ◽

Yan Denghua ◽

Abel Girma ◽

Mustafa Ibrahim Khamis

Keyword(s):

Variable Selection ◽

Water Demand ◽

Demand Forecasting ◽

Selection Methods ◽

Water Demand Forecasting ◽

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