AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization
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 suf...
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my.unimas.ir.165602017-06-12T07:41:52Z http://ir.unimas.my/id/eprint/16560/ AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization Md. Sarwar, Zahan Tapan Teh, Chee Siong H Social Sciences (General) 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. IEEE 2008 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/16560/1/AC-ViSOM%28abstract%29.pdf 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 http://ieeexplore.ieee.org/document/4632006/ 10.1109/ITSIM.2008.4632006 |
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H Social Sciences (General) Md. Sarwar, Zahan Tapan Teh, Chee Siong AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization |
description |
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. |
format |
E-Article |
author |
Md. Sarwar, Zahan Tapan Teh, Chee Siong |
author_facet |
Md. Sarwar, Zahan Tapan Teh, Chee Siong |
author_sort |
Md. Sarwar, Zahan Tapan |
title |
AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization |
title_short |
AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization |
title_full |
AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization |
title_fullStr |
AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization |
title_full_unstemmed |
AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization |
title_sort |
ac-visom: hybridising the modified adaptive coordinate (ac) and visom for data visualization |
publisher |
IEEE |
publishDate |
2008 |
url |
http://ir.unimas.my/id/eprint/16560/1/AC-ViSOM%28abstract%29.pdf http://ir.unimas.my/id/eprint/16560/ http://ieeexplore.ieee.org/document/4632006/ |
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1644512399685844992 |
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13.211869 |