Chemometric classification techniques as a tool for solving problems in analytical chemistry
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Chemometric classification techniques as a tool for solving problems in analytical chemistry. / Bevilacqua, Marta; Nescatelli, Riccardo; Bucci, Remo; Magrì, Andrea D.; Magrì, Antonio L.; Marini, Federico.
In: Journal of AOAC International, Vol. 97, No. 1, 2014, p. 19-28.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Chemometric classification techniques as a tool for solving problems in analytical chemistry
AU - Bevilacqua, Marta
AU - Nescatelli, Riccardo
AU - Bucci, Remo
AU - Magrì, Andrea D.
AU - Magrì, Antonio L.
AU - Marini, Federico
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
U2 - 10.5740/jaoacint.SGEBevilacqua
DO - 10.5740/jaoacint.SGEBevilacqua
M3 - Journal article
C2 - 24672856
AN - SCOPUS:84893674159
VL - 97
SP - 19
EP - 28
JO - Journal of AOAC International
JF - Journal of AOAC International
SN - 1060-3271
IS - 1
ER -
ID: 228375512