title: Chemometric classification techniques as a tool for solving problems in analytical chemistry.
abstract: 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.
authors.forename: Marta
authors.initials: M
authors.lastname: Bevilacqua
authors.forename: Riccardo
authors.initials: R
authors.lastname: Nescatelli
authors.forename: Remo
authors.initials: R
authors.lastname: Bucci
authors.forename: Andrea D
authors.initials: AD
authors.lastname: Magrì
authors.forename: Antonio L
authors.initials: AL
authors.lastname: Magrì
authors.forename: Federico
authors.initials: F
authors.lastname: Marini
mesh_terms: D002623:Chemistry Techniques, Analytical / Q000379:methods*; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012107:Research Design