Usage of clustering methods in mathematics, geoinformatics and related fields of university study

In the paper we compare the hierarchical clustering methods with the non-hierarchical ones at an example of analysis of similarity's rate of European Union universities. The main aim of the collation is to find out whether the clusters obtained by different methods correspond in some sense. There are 3 largest universities per each state of the European Union in our database The main criterion of choice was the number of students studying at each university. A portion of our database contains data about the possibilities of study mathematics, geodesy, GIS and geoinformatics at the chosen EU universities. As the quality of the education partially depends on the ratio of students per pedagogue we tried to exaluate this parameter as well.