Comparison of species classification models of mass spectrometry data: Kernel Discriminant Analysis vs Random Forest; A case study of Afrormosia (Pericopsis elata(Harms) Meeuwen)-Reference-Cited by-同舟云学术

Comparison of species classification models of mass spectrometry data: Kernel Discriminant Analysis vs Random Forest; A case study of Afrormosia (Pericopsis elata(Harms) Meeuwen)

Published:2017-09-04 Issue:19 Volume:31 Page:1582-1588
ISSN:0951-4198
Container-title:Rapid Communications in Mass Spectrometry
language:en
Short-container-title:Rapid Commun Mass Spectrom

Author:

Deklerck V.¹²^ORCID,Finch K.³,Gasson P.⁴,Van den Bulcke J.¹,Van Acker J.¹,Beeckman H.²,Espinoza E.⁵

Affiliation:

1. Woodlab-UGent, Ghent University; Laboratory of Wood Technology, Department of Forest and Water Management; Coupure Links 653 B-9000 Ghent Belgium

2. Wood Biology Service; Royal Museum for Central Africa (RMCA); Leuvensesteenweg 13 3080 Tervuren Belgium

3. Department of Botany and Plant Pathology; Oregon State University; Cordley Hall, 2701 SW Campus Way Corvalis OR USA

4. Royal Botanic Gardens, Kew; Richmond TW9 3DS UK

5. U.S. National Fish and Wildlife Forensic Laboratory; 1490 East Main Street Ashland OR USA

Funder

Federaal Wetenschapsbeleid

Publisher

Wiley

Subject

Organic Chemistry,Spectroscopy,Analytical Chemistry

Reference21 articles.

1. Convention on International Trade in Endangered Species of Wild Fauna and Flora Appendices I, II and III https://cites.org/sites/default/files/notif/E-Notif-2016-068-A.pdf

2. InsideWood (2004 - onwards) http://insidewood.lib.ncsu.edu/search

3. IAWA list of microscopic features for hardwood identification;Wheeler;IAWA Bull.,1989

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