EM Algorithms for Self-Organizing Maps

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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
	Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck, "EM Algorithms for Self-Organizing Maps," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6009, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.859365, author = {Tom Heskes and Jan-Joost Spanjers and Wim Wiegerinck}, title = {EM Algorithms for Self-Organizing Maps}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {6}, year = {2000}, issn = {1098-7576}, pages = {6009}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859365}, 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 - EM Algorithms for Self-Organizing Maps SN - 1098-7576 SP EP A1 - Tom Heskes, A1 - Jan-Joost Spanjers, A1 - Wim Wiegerinck, PY - 2000 VL - 6 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Tom Heskes, University of Nijmegen

Jan-Joost Spanjers, University of Nijmegen

Wim Wiegerinck, University of Nijmegen

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859365

Self-organizing maps are popular algorithms for unsupervised learning and data visualization. Exploiting the link between vector quantization and mixture modeling, we derive EM algorithms for self-organizing maps with and without missing values. We compare self-organizing maps with the elastic-net approach and explain why the former is better suited for the visualization of high-dimensional data. Several extensions and improvements are discussed.

Citation:

Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck, "EM Algorithms for Self-Organizing Maps," ijcnn, vol. 6, pp.6009, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000

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