Dimensional reduction and data visualization using hybrid artificial neural networks.
Data with dimension higher than three is not possible to be visualized directly. Unfortunately in real world data, not only the dimension are often more than three, very often real world data contain temporal information that makes the data only useful and meaningful when they are interpreted in seq...
| Main Authors: | Teh, Chee Siong, Yii, M.L., Chen, Chwen Jen |
|---|---|
| Format: | Article |
| Published: |
International Association of Computer Science and Information Technology Press
2015
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/10030/ |
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