Random forest as a non-parametric algorithm for near-infrared (NIR) spectroscopic discrimination for geographical origin of agricultural samples

Bulletin of the Korean Chemical Society

Volumn 33, Issue 12, 2012, Pages 4267-4270

  Lee, Sanguk ^a   Choi, Hangseok ^b   Cha, Kyungjoon ^a   Kim, Mi Kyeong ^c   Kim, Jeong Soo ^c   Youn, Chi Hee ^d   Lee, Su Heon ^e   Chung, Hoeil ^a  

^a Hanyang University   (South Korea)

^b Health Insurance Policy Research Institute   (South Korea)

^c National Institute of Animal Science   (South Korea)

^d Smarteome Co Ltd   (South Korea)

^e Kyungpook National University   (South Korea)

Author keywords

Discrimination; Geographical origin; Model over fitting; NIR analysis; Random forest

Indexed keywords

EID: 84871757124     PISSN: 02532964     EISSN: 12295949     Source Type: Journal    
DOI: 10.5012/bkcs.2012.33.12.4267     Document Type: Article

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