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

Antonio G. González

doi:10.1016/j.chroma.2007.02.091

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

2007-07-01

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Antonio G. González *

DOI：10.1016/j.chroma.2007.02.091

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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. (c) 2007 Elsevier B.V. All rights reserved.

Keywords:

chemometrics

pattern recognition

supervised learning

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

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