Multivariate class modeling for the verification of food-authenticity claims

TrAC - Trends in Analytical Chemistry

Volumn 35, Issue , 2012, Pages 74-86

  Oliveri, Paolo ^a   Downey, Gerard ^b  

^a UNIVERSITY OF GENOA   (Italy)

^b TEAGASC FOOD RESEARCH CENTRE   (Ireland)

Author keywords

Chemometrics; Class modeling; Class space; Discriminant classification; Food authenticity; Fraud detection; Multivariate quality control; Pattern recognition; Performance evaluation; Verification

Indexed keywords

CHEMOMETRICS; CLASS MODELING; CLASS SPACE; FOOD AUTHENTICITY; FRAUD DETECTION; MULTIVARIATE QUALITY CONTROL; PERFORMANCE EVALUATION;

CHEMICAL ANALYSIS; SPECTROSCOPY; VERIFICATION;

PATTERN RECOGNITION;

ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CHEMOMETRICS; CLASSIFICATION; CLASSIFICATION AND INFLUENZE MATRIX ANALYSIS; DISCRIMINANT ANALYSIS; FOOD ANALYSIS; FOOD AUTHENTICATION; FOOD QUALITY; K NEAREST NEIGHBOR; MATHEMATICAL MODEL; MULTIVARIATE ANALYSIS; MULTIVARIATE RANGE MODELING; PATTERN RECOGNITION BY INDEPENDENT MULTICATEGORY ANALYSIS; POTENTIAL FUNCTION METHOD; PRIORITY JOURNAL; QUALITY CONTROL; REVIEW; SENSITIVITY AND SPECIFICITY; SOFT INDEPENDENT MODELING OF CLASS ANALOGY; UNEQUAL CLASS MODEL;

EID: 84859731462     PISSN: 01659936     EISSN: 18793142     Source Type: Journal    
DOI: 10.1016/j.trac.2012.02.005     Document Type: Review

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