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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| Main Authors: | , |
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| 格式: | E-Article |
| 語言: | English |
| 出版: |
IEEE
2008
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| 主題: | |
| 在線閱讀: | 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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| 總結: | 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. |
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