Hybridní SOM pro překrývající se shlukování využívající rough set

Abstract

This work deals with hybrid self-organizing neural networks for clustering with rough sets. First of all, it describes the individual parts and then their mutual cooperation. In the practical part was the implementation of this algorithm made and compared with ordinary clustering K-means algorithm. The conclusion summarizes the findings of these algorithms gained during solving this problem.