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14 septembre 2016
- handle: 10670/1.tptf6y
- hal: hal-01637519
- doi: 10.1007/978-3-319-45378-1_25
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-45378-1_25
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Mots-clés
Self organizing maps Growing neural gas High-dimensional dataset High performance computingSujets proches
Geographic atlases Atlases, Geographic Personal identity Plans Coal-gas Illuminating gas Producer gasCiter ce document
Lukáš Vojáček et al., « Optimization of Combining of Self Organizing Maps and Growing Neural Gas », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-319-45378-1_25
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Résumé
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.