Title :
Influence of cluster center selection on clustering by hybrid neural network model
Author :
Krakovsky, R. ; Forgac, R. ; Mokris, I.
Author_Institution :
Dept. of Inf., Catholic Univ., Ruzomberok, Slovakia
Abstract :
The paper deals with application of hybrid neural network model consisting of OM-PCNN and Projective ART for multidimensional data clustering. This paper points out the impact of cluster center selection for parameter σ in the Projective ART, which affects the number of clusters and the clustering accuracy.
Keywords :
neural nets; pattern clustering; OM-PCNN; cluster center selection; clustering accuracy; hybrid neural network model clustering; multidimensional data clustering; projective ART; Accuracy; Clustering algorithms; Neural networks; Neurons; Subspace constraints; Testing; Training;
Conference_Titel :
Logistics and Industrial Informatics (LINDI), 2012 4th IEEE International Symposium on
Conference_Location :
Smolenice
Print_ISBN :
978-1-4673-4520-0
Electronic_ISBN :
978-1-4673-4518-7
DOI :
10.1109/LINDI.2012.6319494
