Přehled soft clusteringovych metod, jejich aplikace nad vybranou datovou kolekcí a srovnání výsledků

Abstract

The theme of this thesis is soft clustering. The aim is create overview consisting of a few chosen soft clustering method. Based on this overview are chosen soft clustering methods. These methods are implemented and applied over chosen real data collection, obtained by web scraping from some discussion forum. Then, various experiments are carried out by changing the settings properties of algorithms. These results are then visualized an evaluated.