Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 2: February 2013

Discrimination of Chinese Herbal Medicine by Machine Olfaction

Dehan Luo (Guangdong University of Technology)
Yawen Shao (Guangdong University of Technology)



Article Info

Publish Date
01 Feb 2013

Abstract

“Small Sample Size” (SSS) problem would occur while using linear discriminant analysis (LDA) algorithm with traditional Fisher criterion if the within-class scatter matrix is singular. The combination of maximum scatter difference (MSD) criterion and LDA algorithm for solve SSS problem is described. It is employed to detect three kinds of Chinese herbal medicines from different growing areas by machine olfaction. Compared with PCA or PCA + LDA algorithm, the classification result was enhanced. It works out that only a few samples of Anhui Atractylodes are classified incorrectly, however, the classification rate reaches 97.8%. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1986

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