Classification of gasoline brand and origin by Raman spectroscopy and a novel R-weighted LSSVM algorithm

► Raman spectroscopy is an effective solution to classify gasoline by brand and origin. ► LSSVM and local approach is used to classify limited and overlapped samples. ► R-weighted LSSVM has the best classification accuracy. ► Euclidean distance and correlation coefficient are both considered in this algorithm.