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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| Veröffentlicht in: | Journal of AOAC International 2014-01, Vol.97 (1), p.19-28 |
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| container_title | Journal of AOAC International |
| container_volume | 97 |
| creator | Bevilacqua, Marta Nescatelli, Riccardo Bucci, Remo Magrì, Andrea D Magrì, Antonio L Marini, Federico |
| description | 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. |
| doi_str_mv | 10.5740/jaoacint.SGEBevilacqua |
| format | Article |
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| ispartof | Journal of AOAC International, 2014-01, Vol.97 (1), p.19-28 |
| issn | 1060-3271 1944-7922 |
| language | eng |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Chemical research Chemistry Techniques, Analytical - methods Chemistry, Analytic Models, Theoretical Pattern Recognition, Automated Problem solving Reproducibility of Results Research Design |
| title | Chemometric classification techniques as a tool for solving problems in analytical chemistry |
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