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Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy
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Paper Abstract

The results of comparison of quality of two classificators – SVM (support vector machine) and SIMCA (soft independent modelling of class analogies) on model data contained profiles of absorbtion specra of exhalted air are presented. It is shown, that SVM classification results can be improved by preprocessing if input data with principal component analysis method.

Paper Details

Date Published: 19 November 2015
PDF: 5 pages
Proc. SPIE 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, 968049 (19 November 2015); doi: 10.1117/12.2205777
Show Author Affiliations
Y. V. Kistenev, Tomsk State Univ. (Russian Federation)
A. V. Shapovalov, Tomsk State Univ. (Russian Federation)
D. A. Vrazhnov, Tomsklabs PTE LTD (Russian Federation)
V. V. Nikolaev, Tomsklabs PTE LTD (Russian Federation)
O. Y. Nikiforova, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)

Published in SPIE Proceedings Vol. 9680:
21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii, Editor(s)

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