Comparison of Matlab’s multivariate analysis for qualitative and quantitative electronic taste sensing system
Date
2010-06-02Author
Abdul Hallis, Abdul Aziz
Ammar, Zakaria
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Rahman, Saad
Abdul Hamid, Adom, Prof. Madya Dr.
Maz Jamilah, Masnan
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Show full item recordAbstract
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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