Combination of Self Organizing Maps and Growing Neural Gas

Abstract : 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.
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Communication dans un congrès
Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.100-111, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_11〉
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Lukáš Vojáček, Pavla Dráždilová, Jiří Dvorský. Combination of Self Organizing Maps and Growing Neural Gas. Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.100-111, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_11〉. 〈hal-01405567〉

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