%0 Conference Proceedings
%T Combination 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 2: Algorithms
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 100-111
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_11
%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 high dimensional data clustering problem. 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). The learning phase of ANN, which is time-consuming especially for large high-dimensional datasets, is the main drawback of this approach to data clustering. 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405567/document
%2 https://inria.hal.science/hal-01405567/file/978-3-662-45237-0_11_Chapter.pdf
%L hal-01405567
%U https://inria.hal.science/hal-01405567
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM