Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering
An improved evolving model, i.e., Evolving Tree (ETree) with Fuzzy c-Means (FCM), is proposed for undertaking text document visualization problems in this study. ETree forms a hierarchical tree structure in which nodes (i.e., trunks) are allowed to grow and split into child nodes (i.e., leaves), and...
| Main Authors: | , , |
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| Format: | Proceeding |
| Language: | English |
| Published: |
2013
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| Online Access: | http://ir.unimas.my/id/eprint/15839/ http://ir.unimas.my/id/eprint/15839/1/Enhancing%20an%20evolving%20tree-based%20text%20document%20visualization%20model%20with%20fuzzy%20c-means%20clustering%20%28abstrak%29.pdf |
| _version_ | 1848837936823402496 |
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| author | Wui, Lee Chang Kai, Meng Tay Chee, Peng Lim |
| author_facet | Wui, Lee Chang Kai, Meng Tay Chee, Peng Lim |
| author_sort | Wui, Lee Chang |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | An improved evolving model, i.e., Evolving Tree (ETree) with Fuzzy c-Means (FCM), is proposed for undertaking text document visualization problems in this study. ETree forms a hierarchical tree structure in which nodes (i.e., trunks) are allowed to grow and split into child nodes (i.e., leaves), and each node represents a cluster of documents. However, ETree adopts a relatively simple approach to split its nodes. Thus, FCM is adopted as an alternative to perform node splitting in ETree. An experimental study using articles from a flagship conference of Universiti Malaysia Sarawak (UNIMAS), i.e., Engineering Conference (ENCON), is conducted. The experimental results are analyzed and discussed, and the outcome shows that the proposed ETree-FCM model is effective for undertaking text document clustering and visualization problems |
| first_indexed | 2025-11-15T06:47:35Z |
| format | Proceeding |
| id | unimas-15839 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:47:35Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-158392017-05-02T02:48:34Z http://ir.unimas.my/id/eprint/15839/ Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering Wui, Lee Chang Kai, Meng Tay Chee, Peng Lim QA75 Electronic computers. Computer science An improved evolving model, i.e., Evolving Tree (ETree) with Fuzzy c-Means (FCM), is proposed for undertaking text document visualization problems in this study. ETree forms a hierarchical tree structure in which nodes (i.e., trunks) are allowed to grow and split into child nodes (i.e., leaves), and each node represents a cluster of documents. However, ETree adopts a relatively simple approach to split its nodes. Thus, FCM is adopted as an alternative to perform node splitting in ETree. An experimental study using articles from a flagship conference of Universiti Malaysia Sarawak (UNIMAS), i.e., Engineering Conference (ENCON), is conducted. The experimental results are analyzed and discussed, and the outcome shows that the proposed ETree-FCM model is effective for undertaking text document clustering and visualization problems 2013 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/15839/1/Enhancing%20an%20evolving%20tree-based%20text%20document%20visualization%20model%20with%20fuzzy%20c-means%20clustering%20%28abstrak%29.pdf Wui, Lee Chang and Kai, Meng Tay and Chee, Peng Lim (2013) Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering. In: 2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013, 7 July 2013 through 10 July 2013, Hyderabad; India;. http://ieeexplore.ieee.org/document/6622363/ |
| spellingShingle | QA75 Electronic computers. Computer science Wui, Lee Chang Kai, Meng Tay Chee, Peng Lim Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering |
| title | Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering |
| title_full | Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering |
| title_fullStr | Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering |
| title_full_unstemmed | Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering |
| title_short | Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering |
| title_sort | enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering |
| topic | QA75 Electronic computers. Computer science |
| url | http://ir.unimas.my/id/eprint/15839/ http://ir.unimas.my/id/eprint/15839/ http://ir.unimas.my/id/eprint/15839/1/Enhancing%20an%20evolving%20tree-based%20text%20document%20visualization%20model%20with%20fuzzy%20c-means%20clustering%20%28abstrak%29.pdf |