K-mean clustering and correlation analysis in recognition of weather impact on radio signal

This paper deals with using a K-means clustering which is used for decision what parameter related to weather affects a propagation of radio waves in mobile telecommunication network. There were analysed parameters from a meteorological service as well as the parameters related to Global System of Mobile Communication network. For this purpose, we studied and used theory of data mining. The second part of the paper is focused on the significant weather parameters as results of K-means analyse. Consequently, there have been found some dependencies between weather conditions and receive level using a mathematical tools of correlation analysis via MATLAB.