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.
Classification and prediction ability of pattern recognition methods applied to sea-water fish / M. A., Franco; Seeber, Renato; G., Sferlazzo; R., Leardi. - In: ANALYTICA CHIMICA ACTA. - ISSN 0003-2670. - STAMPA. - 233:(1990), pp. 143-147. [10.1016/S0003-2670(00)83471-6]
Classification and prediction ability of pattern recognition methods applied to sea-water fish
SEEBER, Renato;
1990
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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