A comparison of different chemometrics approaches for the robust classification of electronic nose data

Title
A comparison of different chemometrics approaches for the robust classification of electronic nose data
Authors
Keywords
Linear discriminant analysis, Partial least squares-discriminant analysis, Random forests, Support vector machines, Bootstrapping, Cross-validation
Journal
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 406, Issue 29, Pages 7581-7590
Publisher
Springer Nature
Online
2014-10-06
DOI
10.1007/s00216-014-8216-7

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