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Recursive learning rules for SOMs

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Lee, John Aldo [UCL] Donckers, Nicolas [UCL] Verleysen, Michel [UCL]

Three extensions of the traditional learning rule for Self-Organizing Maps are presented. They are based on geometrical considerations and explore various possibilities regarding the norm and the direction of the adaptation vectors. The performance and convergence of each rule is evaluated by two criteria: topology preservation and quantization error.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès restreint
Publication date 2001
Language Anglais
Conference "Workshop on Self-Organizing Maps (WSOM 2001)", Lincoln (UK) (du 13/06/2001 au 15/06/2001)
Peer reviewed yes
Host document N. Allinson, H. Yin, L. Allinson, J. Slack ; "Advances in Self-Organizing Maps"- p. 67-72 (ISBN : 1-85233-511-4)
Publisher Springer Verlag (Berlin-Heidelberg)
Affiliation UCL - FSA/ELEC - Département d'électricité
Links
Bibliographic reference Lee, John Aldo ; Donckers, Nicolas ; Verleysen, Michel. Recursive learning rules for SOMs.Workshop on Self-Organizing Maps (WSOM 2001) (Lincoln (UK), du 13/06/2001 au 15/06/2001). In: N. Allinson, H. Yin, L. Allinson, J. Slack, Advances in Self-Organizing Maps, Springer Verlag : Berlin-Heidelberg2001, p. 67-72
Permanent URL http://hdl.handle.net/2078.1/92486