Cluster identification and separation in the growing self-organizing map: Application in protein sequence classification

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Cluster identification and separation in the growing self-organizing map: Application in protein sequence classification

Growing self-organizing map (GSOM) has been introduced as an improvement to the self-organizing map (SOM) algorithm in clustering and knowledge discovery. Unlike the traditional SOM, GSOM has a dynamic structure which allows nodes to grow reflecting the knowledge discovered from the input data as le...

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Bibliographic Details
Main Author:	Ahmad, N.
Format:	Article
Language:	English
Published:	2010
Subjects:	Q Science (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/87/ http://eprints.utem.edu.my/id/eprint/87/1/Norashikin_JournalOfNeuralComputing.pdf

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