Exploring the potential of combining chemometric approaches to model non-linear multi-way data with quantitative purposes - A case study.
Sign Up to like & getrecommendations! Published in 2021 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2020.10.039
Abstract: Second-order based calibration methods have been widely investigated capitalizing on the inherent benefits of the data structure and the decomposition models, demonstrating that second-order advantage is a property that conspires to a high likelihood success… read more here.
Keywords: way data; multi way; non linear; case study ... See more keywords
Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
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DOI: 10.1016/j.foodchem.2021.130087
Abstract: EEM data recorded at different pH values was exploited by MCR-ALS in order to determine qualitative information about Brazilian red wines. In addition, the geographical traceability of wines produced in the Serra Gaúcha (Rio Grande… read more here.
Keywords: red wines; way data; class; brazilian red ... See more keywords
A new method to determine the number of chemical components of four-way data from mixtures
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DOI: 10.1016/j.microc.2017.08.011
Abstract: Abstract Determining the number of chemical components in mixtures is a crucial step in four-way data analysis. However, few works about true four-way component-determining method are developed to estimate the optimum number of components of… read more here.
Keywords: four way; number chemical; way data; method ... See more keywords
Discriminating sample groups with multi‐way data
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DOI: 10.1093/biostatistics/kxw057
Abstract: &NA; High‐dimensional linear classifiers, such as distance weighted discrimination (DWD) and versions of the support vector machine (SVM), are commonly used in biomedical research to distinguish groups of subjects based on a large number of… read more here.
Keywords: way data; sample groups; way; measured multiple ... See more keywords