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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| Format: | Article |
| Language: | English |
| Published: |
2010
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| Online Access: | http://eprints.utem.edu.my/id/eprint/87/1/Norashikin_JournalOfNeuralComputing.pdf http://eprints.utem.edu.my/id/eprint/87/ http://www.scopus.com/inward/record.url?eid=2-s2.0-77952876529&partnerID=40&md5=eb7886ca427a6158351632248739a407 |
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