Title :
Application of the support vector machine algorithm in distinguishing Chinese herbal medicine fingerprint diagram data
Author :
Zhuo, Ze-Qiang ; Du, Jian-Wei ; Liu, Qing-Jun ; Ma, Chuan-You
Author_Institution :
Dept. of Math. & Phys., Beijing Inst. of Petro-Chem. Technol., Beijing
Abstract :
By applying the method of support vector machine, we carry on a classification study of existing diagram data of the Chinese herbal medicine fingerprint. We compared the effect of support vector machine algorithm on two and several types of data identification with that of the existing computer classification methods. It is shown that the support vector machine method can be used to identify Chinese herbal medicine fingerprint diagram. Some suggestions are put forward to identifying the Chinese herbal medicine fingerprint diagram.
Keywords :
drugs; medicine; pattern classification; support vector machines; Chinese herbal medicine fingerprint diagram data; computer classification methods; data identification; support vector machine algorithm; Algorithm design and analysis; Fingerprint recognition; Mathematics; Pattern analysis; Pattern recognition; Physics; Statistics; Support vector machine classification; Support vector machines; Wavelet analysis; Chinese Herbal Medicine Fingerprint Diagram; Effect Comparison; Identification; Possibility; Support Vector Machine; Usefulness;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-2238-8
Electronic_ISBN :
978-1-4244-2239-5
DOI :
10.1109/ICWAPR.2008.4635827
