Analysis of the Earth's magnetosphere states using the algorithm of adaptive construction of hierarchical neural network classifiers

D.V.Skobeltsyn Institute of Nuclear Physics, M.V.Lomonosov Moscow State University, 119191 Moscow, Russia

^* Corresponding author: dolenko@srd.sinp.msu.ru

Abstract

This paper presents analysis of the results of clusterization of the array of increases in the flux of relativistic electrons in the outer radiation belt of the Earth by two clustering algorithms. One of them is the algorithm for adaptive construction of hierarchical neural network classifiers developed by the authors, applied in clustering mode; the other one is the well-known k-means clusterization algorithm. The obtained clusters are analysed from the point of view of their possible matching to characteristic types of events, the partitions obtained by both methods are compared with each other.