Investigation of topographical stability of the concave and convex self-organizing map variant

Fabien Molle; Jens Christian Claussen

doi:10.1007/11840817_22

Investigation of topographical stability of the concave and convex self-organizing map variant

Fabien Molle, Jens Christian Claussen^*

^*Corresponding author for this work

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

We investigate, by a systematic numerical study, the parameter dependence of the stability of the Kohonen Self-Organizing Map and the Zheng and Greenleaf concave and convex learning with respect to different input distributions, input and output dimensions.

Original language	English
Title of host publication	Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings
Publisher	Springer
Pages	208-215
Number of pages	8
ISBN (Print)	3540386254, 9783540386254
DOIs	https://doi.org/10.1007/11840817_22
Publication status	Published - 2006
Event	16th International Conference on Artificial Neural Networks, ICANN 2006 - Athens, Greece Duration: 10 Sept 2006 → 14 Sept 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4131 LNCS - I
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Artificial Neural Networks, ICANN 2006
Country/Territory	Greece
City	Athens
Period	10/09/06 → 14/09/06

Bibliographical note

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10.1007/11840817_22

Investigation of topographical stability
© Springer-Verlag Berlin Heidelberg 2006
Accepted author manuscript, 278 KB

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Molle, F., & Claussen, J. C. (2006). Investigation of topographical stability of the concave and convex self-organizing map variant. In Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings (pp. 208-215). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4131 LNCS - I). Springer. https://doi.org/10.1007/11840817_22

Molle, Fabien ; Claussen, Jens Christian. / Investigation of topographical stability of the concave and convex self-organizing map variant. Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings. Springer, 2006. pp. 208-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Investigation of topographical stability of the concave and convex self-organizing map variant",

abstract = "We investigate, by a systematic numerical study, the parameter dependence of the stability of the Kohonen Self-Organizing Map and the Zheng and Greenleaf concave and convex learning with respect to different input distributions, input and output dimensions.",

author = "Fabien Molle and Claussen, {Jens Christian}",

note = "{\textcopyright} Springer-Verlag Berlin Heidelberg 2006; 16th International Conference on Artificial Neural Networks, ICANN 2006 ; Conference date: 10-09-2006 Through 14-09-2006",

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doi = "10.1007/11840817_22",

language = "English",

isbn = "3540386254",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Molle, F & Claussen, JC 2006, Investigation of topographical stability of the concave and convex self-organizing map variant. in Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4131 LNCS - I, Springer, pp. 208-215, 16th International Conference on Artificial Neural Networks, ICANN 2006, Athens, Greece, 10/09/06. https://doi.org/10.1007/11840817_22

Investigation of topographical stability of the concave and convex self-organizing map variant. / Molle, Fabien; Claussen, Jens Christian.
Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings. Springer, 2006. p. 208-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4131 LNCS - I).

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - Investigation of topographical stability of the concave and convex self-organizing map variant

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AU - Claussen, Jens Christian

N1 - © Springer-Verlag Berlin Heidelberg 2006

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N2 - We investigate, by a systematic numerical study, the parameter dependence of the stability of the Kohonen Self-Organizing Map and the Zheng and Greenleaf concave and convex learning with respect to different input distributions, input and output dimensions.

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DO - 10.1007/11840817_22

M3 - Conference publication

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Molle F, Claussen JC. Investigation of topographical stability of the concave and convex self-organizing map variant. In Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings. Springer. 2006. p. 208-215. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11840817_22

Investigation of topographical stability of the concave and convex self-organizing map variant

Abstract

Publication series

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