%0 Conference Proceedings
%T Growing Neural Gas – A Parallel Approach
%+ IT4Innovations Centre of Excellence
%+ Department of Computer Science
%A Vojáček, Lukáš
%A Dvorský, Jiří
%Z Part 7: Algorithms
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 12th International Conference on Information Systems and Industrial Management (CISIM)
%C Krakow, Poland
%Y Khalid Saeed
%Y Rituparna Chaki
%Y Agostino Cortesi
%Y Sławomir Wierzchoń
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8104
%P 408-419
%8 2013-09-25
%D 2013
%R 10.1007/978-3-642-40925-7_38
%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 SOM or Growing Neural Gas (GNG). The learning phase of the ANN, which is time-consuming especially for large high-dimensional datasets, is the main drawback of this approach to data clustering. The parallel modification, Growing Neural Gas, 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-01496086/document
%2 https://inria.hal.science/hal-01496086/file/978-3-642-40925-7_38_Chapter.pdf
%L hal-01496086
%U https://inria.hal.science/hal-01496086
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-8104