ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Da Deng, Nikola Kasabov, "ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6003, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.859364, author = {Da Deng and Nikola Kasabov}, title = {ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {6}, year = {2000}, issn = {1098-7576}, pages = {6003}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859364}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams SN - 1098-7576 SP EP A1 - Da Deng, A1 - Nikola Kasabov, PY - 2000 VL - 6 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Da Deng, University of Otago

Nikola Kasabov, University of Otago

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859364

An algorithm of evolving self-organizing map (ESOM) is proposed as a dynamic version of the Kohonen self-organizing map, where network structure is evolved in an on-line adaptive mode. Experiments have been carried out on some benchmark data sets as well as on macroeconomic data. Results show that ESOM is a good tool for clustering, data analysis, and visualization.

Citation:

Da Deng, Nikola Kasabov, "ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams," ijcnn, vol. 6, pp.6003, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000

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