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

Y. V. Kistenev; A. V. Shapovalov; D. A. Vrazhnov; V. V. Nikolaev; O. Y. Nikiforova

doi:10.1117/12.2205777

19 November 2015 Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy

Y. V. Kistenev, A. V. Shapovalov, D. A. Vrazhnov, V. V. Nikolaev, O. Y. Nikiforova

Author Affiliations +

Proceedings Volume 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics; 968049 (2015) https://doi.org/10.1117/12.2205777
Event: XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2015, Tomsk, Russian Federation

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.

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Y. V. Kistenev, A. V. Shapovalov, D. A. Vrazhnov, V. V. Nikolaev, and O. Y. Nikiforova "Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy", Proc. SPIE 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, 968049 (19 November 2015); https://doi.org/10.1117/12.2205777

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