Growing self-organizing map for online continuous clustering Smith, Toby and Alahakoon, Damminda 2009, Growing self-organizing map for online continuous clustering. In Abraham, Ajith, Hassanien, Aboul-Ella and de, Carvalho Andre Ponce de Leon F. (ed), Foundations of computational intelligence volume 4, Springer-Verlag, Berlin, Germany, pp.49-83, doi: 10.1007/978-3-642-01088-0_3. Attached Files Name Description MIMEType Size Downloads Title Growing self-organizing map for online continuous clustering Author(s) Smith, Toby Alahakoon, Damminda Title of book Foundations of computational intelligence volume 4 Editor(s) Abraham, Ajith Hassanien, Aboul-Ella de, Carvalho Andre Ponce de Leon F. Publication date 2009 Series Studies in Computational Intelligence Chapter number 3 Total chapters 16 Start page 49 End page 83 Total pages 35 Publisher Springer-Verlag Place of Publication Berlin, Germany Summary The internet age has fuelled an enormous explosion in the amount of information generated by humanity. Much of this information is transient in nature, created to be immediately consumed and built upon (or discarded). The field of data mining is surprisingly scant with algorithms that are geared towards the unsupervised knowledge extraction of such dynamic data streams. This chapter describes a new neural network algorithm inspired by self-organising maps. The new algorithm is a hybrid algorithm from the growing self-organising map (GSOM) and the cellular probabilistic self-organising map (CPSOM). The result is an algorithm which generates a dynamically growing feature map for the purpose of clustering dynamic data streams and tracking clusters as they evolve in the data stream. ISBN 3642010881 9783642010880 Language eng DOI 10.1007/978-3-642-01088-0_3 Field of Research 109999 Technology not elsewhere classified Socio Economic Objective 970110 Expanding Knowledge in Technology HERDC Research category B1.1 Book chapter Copyright notice ©2009, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30064119 Document type: Book Chapter Collection: School of Information and Business Analytics Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 09 Jun 2014, 14:09:01 EST Fri, 13 Jun 2014, 14:08:25 EST Tue, 17 Jun 2014, 11:34:47 EST Fri, 20 Jun 2014, 11:18:08 EST Fri, 10 Oct 2014, 09:19:41 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 212 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Mon, 09 Jun 2014, 14:09:01 EST