Classification of kerosene using physicochemical data and multivariate techniques.

In this paper we have compared the abilities of two multivariate classification methods: soft independent modeling of class analogy (SIMCA) and support vector machines (SVM) for kerosene classification using physicochemical data. Two types of kerosene fractions (class A and class B) with different c...

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Bibliographic Details

Published in:	Revista CENIC Ciencias Quimicas Vol. 44; no. 1; pp. 13 - 23
Main Authors:	Comesaña-García, Yumirka, Cavado-Osorio, Alberto, Linchenat-Dennes, Ernesto, Dago-Morales, Ángel
Format:	Article
Published:	Centro Nacional de Investigaciones Cientificas 2013
Subjects:	Kerosene Support vector machines Chemometrics Analytical chemistry Pattern recognition systems Multivariate analysis
Online Access:	View this record in EBSCOhost