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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| Format: | Article |
| Language: | English |
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2010
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| Online Access: | http://eprints.utem.edu.my/id/eprint/91/ http://eprints.utem.edu.my/id/eprint/91/1/Norashikin__waset2010.pdf |
| _version_ | 1848886885107105792 |
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| author | Ahmad, N. |
| author_facet | Ahmad, N. |
| author_sort | Ahmad, N. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T19:45:36Z |
| format | Article |
| id | utem-91 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:45:36Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-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 |
| spellingShingle | Q Science (General) Ahmad, N. Generating concept trees from dynamic self-organizing map |
| title | 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_short | Generating concept trees from dynamic self-organizing map |
| title_sort | generating concept trees from dynamic self-organizing map |
| topic | Q Science (General) |
| url | http://eprints.utem.edu.my/id/eprint/91/ http://eprints.utem.edu.my/id/eprint/91/ http://eprints.utem.edu.my/id/eprint/91/1/Norashikin__waset2010.pdf |