Md. Sarwar, Zahan Tapan and Teh, Chee Siong (2008) AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization. International Symposium on Information Technology, 2008. ITSim 2008. ISSN 2155-899X
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Abstract
ViSOM’s (Visualization induced SOM) final map can be seen as a smooth net embedded in the input space, where the distances among neurons are controlled by a regularization control parameter which is usually heuristically chosen on a trial and error basis. Empirical studies shown that ViSOM suffers from dead neuron problem, since a big number of neurons fall outside of the data region due to the regularization effect, even though the regularization control parameter is properly chosen. In this paper, a modified Adaptive Coordinate (AC) approach that is able to preserve data structure is hybridised with ViSOM is proposed. Experimental studies on benchmark datasets shown that the proposed method was able to eliminate the selection of regularization control parameter and minimizing the dead neuron for better data representation.
| Item Type: | Article |
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| Uncontrolled Keywords: | Neurons, Data visualization, Distance measurement, Data structures, Equations, Aerospace electronics, Topology, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education |
| Subjects: | H Social Sciences > H Social Sciences (General) |
| 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: | Karen Kornalius |
| Date Deposited: | 12 Jun 2017 07:41 |
| Last Modified: | 12 Jun 2017 07:41 |
| URI: | http://ir.unimas.my/id/eprint/16560 |
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