Chemometric classification techniques as a tool for solving problems in analytical chemistry
Research output: Contribution to journal › Journal article › Research › peer-review
Marta Bevilacqua, Riccardo Nescatelli, Remo Bucci, Andrea D. Magrì, Antonio L. Magrì, Federico Marini
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.
|Journal||Journal of AOAC International|
|Number of pages||10|
|Publication status||Published - 2014|