Comparison and improvement of commonly applied statistical approaches for identification of plant species from IR spectra

Journal of Chemometrics

Volumn 24, Issue 10, 2010, Pages 611-616

  Kokalj, Meta ^a   Strgulc Krajšek, Simona ^a   Omahen Bratuša, Jasmina ^a   Kreft, Samo ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Epilobium; Hypericum; Infrared spectroscopy; Multivariate statistical methods; Species identification

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); DISCRIMINANT ANALYSIS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; MULTIVARIANT ANALYSIS; PLANTS (BOTANY); PRINCIPAL COMPONENT ANALYSIS;

EPILOBIUM; FIRST DERIVATIVE; HYPERICUM; INFRARED: SPECTROSCOPY; LEAVE ONE OUT; MULTIVARIATE STATISTICAL METHOD; PLANT SPECIES; SPECIES IDENTIFICATION; SPECTRA'S; STATISTICAL APPROACH;

CLUSTER ANALYSIS;

EID: 77958532157     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1336     Document Type: Article

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