Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods

The article presents a detailed analysis of parameter settings of self-organizing map (SOM) for the clusterization of bathymetric data obtained using interferometric techniques. Clusterization using SOM is one of the stages of a new a geodata reduction method being currently researched by the authors for the purpose of a bathymetric map construction. In the research authors used data obtained by GeoSwath+.-interferometric sonar system. Test data gathered from the area of 100m 2 included 3760 data points. During the tests the authors focused primarily on setting individual network parameters in the course of network training and also on their importance in the clustering of bathymetric data. A total of forty-eight different scenarios of SOM parameter settings were tested. In the article detailed analysis of the obtained results is presented with an emphasis on the use of SOM in future studies related to new geodata reduction method.