Generating concept trees from dynamic self-organizing map

Self-organizing map (SOM) provides both clustering and visualization capabilities in mining data. Dynamic self-organizing maps such as Growing Self-organizing Map (GSOM) has been developed to overcome the problem of fixed structure in SOM to enable better representation of the discovered patterns. H...

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主要作者: Ahmad, N.
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語言:English
出版: 2010
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在線閱讀:http://eprints.utem.edu.my/id/eprint/91/1/Norashikin__waset2010.pdf
http://eprints.utem.edu.my/id/eprint/91/
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spelling my.utem.eprints.912021-09-19T19:59:01Z http://eprints.utem.edu.my/id/eprint/91/ Generating concept trees from dynamic self-organizing map Ahmad, N. Q Science (General) Self-organizing map (SOM) provides both clustering and visualization capabilities in mining data. Dynamic self-organizing maps such as Growing Self-organizing Map (GSOM) has been developed to overcome the problem of fixed structure in SOM to enable better representation of the discovered patterns. However, in mining large datasets or historical data the hierarchical structure of the data is also useful to view the cluster formation at different levels of abstraction. In this paper, we present a technique to generate concept trees from the GSOM. The formation of tree from different spread factor values of GSOM is also investigated and the quality of the trees analyzed. The results show that concept trees can be generated from GSOM, thus, eliminating the need for re-clustering of the data from scratch to obtain a hierarchical view of the data under study. 2010 Article NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/91/1/Norashikin__waset2010.pdf Ahmad, N. (2010) Generating concept trees from dynamic self-organizing map. Proceedings of World Academy of Science, Engineering and Technology, 65. pp. 706-711. ISSN 2010-376X http://www.scopus.com/inward/record.url?eid=2-s2.0-78751607137&partnerID=40&md5=be96bbbe60873020cde561f30e15ca3e
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Ahmad, N.
Generating concept trees from dynamic self-organizing map
description Self-organizing map (SOM) provides both clustering and visualization capabilities in mining data. Dynamic self-organizing maps such as Growing Self-organizing Map (GSOM) has been developed to overcome the problem of fixed structure in SOM to enable better representation of the discovered patterns. However, in mining large datasets or historical data the hierarchical structure of the data is also useful to view the cluster formation at different levels of abstraction. In this paper, we present a technique to generate concept trees from the GSOM. The formation of tree from different spread factor values of GSOM is also investigated and the quality of the trees analyzed. The results show that concept trees can be generated from GSOM, thus, eliminating the need for re-clustering of the data from scratch to obtain a hierarchical view of the data under study.
format Article
author Ahmad, N.
author_facet Ahmad, N.
author_sort Ahmad, N.
title Generating concept trees from dynamic self-organizing map
title_short Generating concept trees from dynamic self-organizing map
title_full Generating concept trees from dynamic self-organizing map
title_fullStr Generating concept trees from dynamic self-organizing map
title_full_unstemmed Generating concept trees from dynamic self-organizing map
title_sort generating concept trees from dynamic self-organizing map
publishDate 2010
url http://eprints.utem.edu.my/id/eprint/91/1/Norashikin__waset2010.pdf
http://eprints.utem.edu.my/id/eprint/91/
http://www.scopus.com/inward/record.url?eid=2-s2.0-78751607137&partnerID=40&md5=be96bbbe60873020cde561f30e15ca3e
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score 13.250246