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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Combination of Self Organizing Maps and Growing Neural Gas
verfasst von : Lukáš Vojáček, Pavla Dráždilová, Jiří Dvorský
Erschienen in: Computer Information Systems and Industrial Management
Verlag: Springer Berlin Heidelberg
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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.