Užití shlukovacích algoritmů v sociálních sítích

Abstract

This thesis deals with coalescing algorithms and their using in social networks. The aim of the thesis was to check several clustering algorithms with different data collections, and analyse the results. In my work was used three algorithms, namely: K-means, Fuzzy C-means and Markov Cluster algorithm. These algorithms were implemented and their functionality was tested on a series of multiple data sets. The results were evaluated and analysed.