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Description
  • 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.
  • 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. (en)
Title
  • Growing Neural Gas – A Parallel Approach
  • Growing Neural Gas – A Parallel Approach (en)
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  • Growing Neural Gas – A Parallel Approach
  • Growing Neural Gas – A Parallel Approach (en)
skos:notation
  • RIV/61989100:27740/13:86088264!RIV14-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(EE.2.3.20.0072)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 76915
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86088264
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • high-dimensional dataset; high performance computing; growing neural gas (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D551F09761E3]
http://linked.open...v/mistoKonaniAkce
  • Krakow
http://linked.open...i/riv/mistoVydani
  • London
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science. Volume 8104
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dvorský, Jiří
  • Vojáček, Lukáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-40925-7_38
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-40924-0
http://localhost/t...ganizacniJednotka
  • 27740
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