Abstract

Concerns about the labelling of fisheries products at production centres is now increasing. After the outbreak of bovine spongiform encephalopathy (BSE) occurred, problems relating to clam or wakame and other products have attracted more attention than before. We developed a scientific method for discriminating the production countries of wakame seaweeds using soft independent modelling for class analogy (SIMCA). However, the validation of the obtained SIMCA model was not very good. Therefore, we tried one of the non-parametric classification methods, Randomforests, based on classification and regression trees (CART). We found that Randomforests could be a potent classification method for visible and near infrared spectra. We suggest a preliminary interpretation for the basis of classification conditions by using CART.

© 2007 IM Publications LLP

Quantitative multiple-element simultaneous analysis of seaweed fertilizer by laser-induced breakdown spectroscopy

Qingyu Lin, Pengkun Yin, Yixiang Duan, Ying Wang, Lin Zhang, and Xiaohui Wang
Opt. Express 28(10) 14198-14208 (2020)

Optical system for tablet variety discrimination using visible/near-infrared spectroscopy

Yongni Shao, Yong He, and Xingyue Hu
Appl. Opt. 46(34) 8379-8384 (2007)

Discrimination of serum Raman spectroscopy between normal and colorectal cancer using selected parameters and regression-discriminant analysis

Xiaozhou Li, Tianyue Yang, and Siqi Li
Appl. Opt. 51(21) 5038-5043 (2012)

Localization of adipose tissue embedded biliary tree vessels by use of near-infrared diffuse photon propagation models: a computational feasibility study

George Alexandrakis, Dharmendra Nadkar, Nimit L. Patel, Hanli Liu, and Edward H. Livingston
Appl. Opt. 47(29) 5261-5271 (2008)

Linear regression models and k-means clustering for statistical analysis of fNIRS data

Viola Bonomini, Lucia Zucchelli, Rebecca Re, Francesca Ieva, Lorenzo Spinelli, Davide Contini, Anna Paganoni, and Alessandro Torricelli
Biomed. Opt. Express 6(2) 615-630 (2015)