Comparison of Matlab’s multivariate analysis for qualitative and quantitative electronic taste sensing system
Abdul Hallis, Abdul Aziz
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Rahman, Saad
Abdul Hamid, Adom, Prof. Madya Dr.
Maz Jamilah, Masnan
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A taste sensing system has been put in place by a team of Unimap’s researchers using an array of sensors and ‘off the shelf’ components. Qualitative and quantitative ‘tasting’ data (multi-dimensions) were subjected to multivariate analysis methods available in mathematical software Matlab (ver. 8.0). Comparative studies were done on the analysis of principal component analysis (PCA), common factor analysis (CFA), multi-dimensional scaling (MDS) and linear discriminant analysis (LDA). This study shows that some analysis methods are capable to discriminate basic taste qualities and differentiate different level of taste intensity.
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