The possible application of cluster analysis methods for determining the parameters of the inhomogeneous structures of the upper atmosphere, viz., the ionosphere, that are segregated by GPS-interferometry was studied. Different clusterization algorithms were tested on quasi-real data. A considerable decrease in the variance of the parameters of the detected ionosphere structures was revealed as compared to ordinary statistical processing, especially in the case of a small data sample and a high level of noise. Examples of experimental data processing by cluster analysis are presented.
94.20.Vv Ionospheric disturbances, irregularities, and storms
91.10.Fc Space and satellite geodesy; applications of global positioning systems
94.05.Sd Space weather
$^1$Faculty of Physics, Moscow State University, Moscow, 119991, Russia
$^2$Fedorov Institute of Applied Geophysics (FSBO “IAG”), Rostokinskaya 9, 129128, Moscow, Russia
Science News of the Faculty of Physics, Lomonosov Moscow State University
This new information publication, which is intended to convey to the staff, students and graduate students, faculty colleagues and partners of the main achievements of scientists and scientific information on the events in the life of university physicists.