Chemometric classification techniques as a tool for solving problems in analytical chemistry

Supervised pattern recognition (classification) techniques, i.e., the family of chemometric methods whose aim is the prediction of a qualitative response on a set of samples, represent a very important assortment of tools for solving problems in several areas of applied analytical chemistry. This pa...

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Bibliographic Details
Published in:	Journal of AOAC International Vol. 97; no. 1; pp. 19 - 28
Main Authors:	Bevilacqua, Marta, Nescatelli, Riccardo, Bucci, Remo, Magrì, Andrea D, Magrì, Antonio L, Marini, Federico
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 01-01-2014
Subjects:	Chemical research Chemistry Techniques, Analytical - methods Chemistry, Analytic Models, Theoretical Pattern Recognition, Automated Problem solving Reproducibility of Results Research Design Italy
Online Access:	Get full text
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Summary:	Supervised pattern recognition (classification) techniques, i.e., the family of chemometric methods whose aim is the prediction of a qualitative response on a set of samples, represent a very important assortment of tools for solving problems in several areas of applied analytical chemistry. This paper describes the theory behind the chemometric classification techniques most frequently used in analytical chemistry together with some examples of their application to real-world problems.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1060-3271 1944-7922
DOI:	10.5740/jaoacint.SGEBevilacqua