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: | Chee, Siong Teh, Ming, Leong Yii, Chen, Chwen Jen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Journal of Machine Learning and Computing.
2015
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/10015/ http://ir.unimas.my/id/eprint/10015/1/Dimensional.pdf |
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