Use and misuse of supervised pattern recognition methods for interpreting compositional data

A Gustavo González

doi:10.1016/j.chroma.2007.02.091

Use and misuse of supervised pattern recognition methods for interpreting compositional data

J Chromatogr A. 2007 Jul 27;1158(1-2):215-25. doi: 10.1016/j.chroma.2007.02.091. Epub 2007 Mar 2.

Author

A Gustavo González¹

Affiliation

¹ Department of Analytical Chemistry, University of Seville, C/Profesor Garcia González no 1, 41012 Seville, Spain. agonzale@us.es

PMID: 17350028
DOI: 10.1016/j.chroma.2007.02.091

Abstract

In this paper, the critical aspects of supervised learning pattern recognition techniques are examined in order to apply the suitable methodology avoiding its abuse and misuse that could provide pitfalls and misleading results.

Publication types

Review

MeSH terms

Pattern Recognition, Automated*