Dimension reduction and clustering of high dimensional data using auto associative neural networks
The task to capture and interpret information hidden inside high-dimensional data can be considered very complicated and challenging. Usually, dimension reduction technique may be considered as the first step to data analysis and exploration. The focus of this paper is on high-dimensional data dimen...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/40382/ http://dx.doi.org/10.5120/12540-9090 |
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