@misc{Migdał-Najman_Kamila_Analiza_2009,
 author={Migdał-Najman, Kamila},
 year={2009},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 description={Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics; 2009; Nr 47, s. 205-213},
 publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu},
 language={pol},
 abstract={The article discusses two methods of cluster analysis which were based on the unsupervised learning like Self Organizing Map (SOM) and Growing Neural Gas (GNG). The author presents basic features of both algorithms, in particular their advantages and disadvantages from the perspective of cluster analysis. The neural network SOM has possessed more applications in data analysis than GNG, it is a technique exploration data and the tool of cluster analysis. The GNG is a specialized tool of cluster analysis and is more effective than SOM in most cases. (original abstract)},
 title={Analiza porównawcza własności nienadzorowanych sieci neuronowych typu Self Organizing Map i Growing Neural Gas w analizie skupień},
 type={artykuł},
}