Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, November 30, 2016 - 10:53:42 AM
Last modification on : Saturday, June 1, 2019 - 11:36:05 AM
Long-term archiving on: : Monday, March 27, 2017 - 8:11:58 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Lukáš Vojáček, Pavla Dráždilová, Jiří Dvorský. Combination of Self Organizing Maps and Growing Neural Gas. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.100-111, ⟨10.1007/978-3-662-45237-0_11⟩. ⟨hal-01405567⟩



Record views


Files downloads