Growing Neural Gas ? A Parallel Approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088264" target="_blank" >RIV/61989100:27240/13:86088264 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86088264
Result on the web
<a href="http://download.springer.com/static/pdf/129/chp%253A10.1007%252F978-3-642-40925-7_38.pdf?auth66=1396007935_45b35c1beed7814b344baf418558b870&ext=.pdf" target="_blank" >http://download.springer.com/static/pdf/129/chp%253A10.1007%252F978-3-642-40925-7_38.pdf?auth66=1396007935_45b35c1beed7814b344baf418558b870&ext=.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-40925-7_38" target="_blank" >10.1007/978-3-642-40925-7_38</a>

Result language
angličtina
Original language name
Growing Neural Gas ? A Parallel Approach
Original language 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-consumingespecially 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.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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