
Comparison of complementary statistical analysis approaches in metabolomic food traceability
Author(s) -
Raúl GonzálezDomínguez,
Ana Sayago,
Ángeles Fernández-Recamales
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/iecm-3-05839
Subject(s) - traceability , principal component analysis , support vector machine , linear discriminant analysis , artificial intelligence , partial least squares regression , machine learning , mathematics , computer science , metabolomics , pattern recognition (psychology) , data mining , food science , statistics , biology , bioinformatics