Barakbah, Ali Ridho and Arai, Kohei (2004) Determining constraints of moving variance to find global optimum and make automatic clustering. In: Industrial Electronics Seminar (IES) 2004, 12 Oct 2004, Surabaya, Indonesia.
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Abstract
This paper proposed a new approach to find the global optimum of clustering. It analyzes the moving variance of clusters for each stage of cluster construction, then observes the pattern to find the global optimum as well as avoid the local optima. It introduces two constraints, valley-tracing and hill- climbing, to find the global optimum. Besides this paper analyzes the possibility to make automatic clustering. Experiment result performs the effectiveness of the proposed approach in this paper.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Dr. Ali Ridho Barakbah |
| Date Deposited: | 22 Mar 2015 12:17 |
| Last Modified: | 22 Mar 2015 12:17 |
| URI: | http://repo.pens.ac.id/id/eprint/1592 |
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