Supervised pattern recognition (classification) techniques, Le., 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.
Chemometric Classification Techniques as a Tool for Solving Problems in Analytical Chemistry / Bevilacqua, Marta; Nescatelli, Riccardo; Bucci, Remo; Magri', Andrea; Magri', Antonio; Marini, Federico. - In: JOURNAL OF AOAC INTERNATIONAL. - ISSN 1060-3271. - STAMPA. - 97:1(2014), pp. 19-28. [10.5740/jaoacint.sgebevilacqua]
Chemometric Classification Techniques as a Tool for Solving Problems in Analytical Chemistry
BEVILACQUA, MARTA;NESCATELLI, RICCARDO;BUCCI, Remo;MAGRI', Andrea;MAGRI', Antonio;MARINI, Federico
2014
Abstract
Supervised pattern recognition (classification) techniques, Le., 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
