%0 Conference Proceedings
%T Optimization of Combining of Self Organizing Maps and Growing Neural Gas
%+ Technical University of Ostrava [Ostrava] (VSB)
%A Vojáček, Lukáš
%A Dráždilová, Pavla
%A Dvorský, Jiří
%Z Part 4: Optimization, Tuning
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 277-286
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_25
%K Self organizing maps
%K Growing neural gas
%K High-dimensional dataset
%K High performance computing
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X The paper deals with the issue of high dimensional data clustering. One possible way to cluster this kind of data is based on Artificial Neural Networks (ANN) such as Growing Neural Gas (GNG) or Self Organizing Maps (SOM). Parallel modification, Growing Neural Gas with pre-processing by Self Organizing Maps, and its implementation on the HPC cluster is presented in the paper. Some experimental results are also presented. We focus on effective preprocessing for GNG. The clustering is realized on the output layer of SOM and the data for GNG are distributed into parallel processes.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637519/document
%2 https://inria.hal.science/hal-01637519/file/419526_1_En_25_Chapter.pdf
%L hal-01637519
%U https://inria.hal.science/hal-01637519
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842