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Classification and prediction ability of pattern recognition methods applied to sea-water fish
Authors:M.A. Franco  R. Seeber  G. Sferlazzo  R. Leardi
Affiliation:Dipartimento di Chimica, Università di Sassari, Via Vienna 2, 07100 Sassari Italy;Istituto di Analisi e Tecnologie Farmaceutiche ed Alimentari, Università di Genova, Via Brigata Salerno (ponte), 16147 Genova Italy
Abstract:The capabilities of the principal components, linear discriminant, quadratic discriminant and SIMCA methods in discriminating between two different species of fish (mullet), and between samples of one species caught in different seasons, were checked with a set of 13 biometric and chemical variables. Promising results were obtained, particularly by linear discriminant analysis after proper feature selection.
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