Bevilacqua Marta, Nescatelli Riccardo, Bucci Remo, Magrì Andrea D, Magrì Antonio L, Marini Federico
J AOAC Int. 2014 Jan-Feb;97(1):19-28. doi: 10.5740/jaoacint.sgebevilacqua.
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.
监督模式识别(分类)技术,即化学计量学方法家族,其目的是对一组样品的定性响应进行预测,是解决应用分析化学多个领域问题的非常重要的一类工具。本文介绍了分析化学中最常用的化学计量学分类技术背后的理论,并给出了它们在实际问题中的一些应用示例。