The parameterless self-organizing map algorithm

Berglund, Erik J. & Sitte, Joaquin (2006) The parameterless self-organizing map algorithm. IEEE Transactions on Neural Networks, 17(2), pp. 305-316.

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The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing schemes for learning rate and neighborhood size. We discuss the relative performance of the PLSOM and the SOM and demonstrate some tasks in which the SOM fails but the PLSOM performs satisfactory. Finally we discuss some example applications of the PLSOM and present a proof of ordering under certain limited conditions.

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76 citations in Scopus
66 citations in Web of Science®
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299 since deposited on 30 Aug 2007
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ID Code: 9217
Item Type: Journal Article
Refereed: Yes
Keywords: self, organising feature maps, neural network algorithm, ordering proof, parameterless self, organizing map algorithm
DOI: 10.1109/TNN.2006.871720
ISSN: 1045-9227
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2006 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 30 Aug 2007 00:00
Last Modified: 29 Feb 2012 13:17

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