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Combining wavelength importance ranking to the random forest classifier to analyze multiclass spectral data

Juliana de Abreu Fontes, Michel J. Anzanello, João B. G. Brito, Guilherme Brandelli Bucco, Flávio S. Fogliatto, Fábio do Prado Puglia

2021Forensic Science International21 citationsDOI

Topics & Concepts

Random forestClassifier (UML)Pattern recognition (psychology)Computer scienceNear-infrared spectroscopyRanking (information retrieval)Artificial intelligenceMachine learningData miningMathematicsOpticsPhysicsSpectroscopy and Chemometric AnalysesSpectroscopy Techniques in Biomedical and Chemical ResearchAdvanced Chemical Sensor Technologies
Combining wavelength importance ranking to the random forest classifier to analyze multiclass spectral data | Litcius