Yii, Ming Leong and Teh, Chee Siong (2017) A Novel Triangulate Mapping Based on Self- Organized Anchor Points for Data Visualization. Advance Science Letters, 23 (11). pp. 11083-11087. ISSN 1936-6612
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Without a form of visual feedback, multivariate data would be reduced to a lump of numbers that very few people would be able to appreciate and be benefited from. This research paper proposes a novel triangulate mapping technique based on selforganizing anchor points for multivariate data visualization. Self-Organizing Map (SOM) and a modified Adaptive Coordinates (AC) are hybridized to produce the anchor points in the 2D space. The trained anchor points are used to triangulate data onto a topologically preserved 2D space. The empirical studies that produce topologically preserved data visualizations for high dimension and arbitrarily shaped clusters in simulated, benchmarking, and real-life dataset show its usefulness in providing intuitive visual feedback to the user.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Triangulate mapping, self-organizing map, topologically preserved visualization, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development Faculties, Institutes, Centres > Faculty of Cognitive Sciences and Human Development Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development |
| Depositing User: | Siong |
| Date Deposited: | 12 Dec 2017 02:05 |
| Last Modified: | 12 Dec 2017 02:05 |
| URI: | http://ir.unimas.my/id/eprint/18827 |
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