E.N. Materov, Ph.D. of Physico-mathematical Sciences
FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia
The article describes the Principal Component Analysis (PCA) applied to the analysis of data on fires in the Krasnoyarsk Territory, as well as the possibility of implementing this method in the R programming language. The stages of implementation are illustrated with a specific example of these fires in motor vehicles.
