AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization

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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Official URL: http://ieeexplore.ieee.org/document/4632006/

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
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
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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