An Analysis Of Two Dimensionality Reduction Techniques On The Performance Of Neural Network Classifiers
This project involves an analysis of the effectiveness of two dimensionality reduction techniques, i.e., Principal Component Analysis as the standard approach and Random Projection as a recent technique. The study is based on the performance of two supervised neural network classifiers i.e., S...
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| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2005
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| Online Access: | http://eprints.usm.my/57588/1/An%20Analysis%20Of%20Two%20Dimensionality%20Reduction%20Techniques%20On%20The%20Performance%20Of%20Neural%20Network%20Classifiers_Ong%20Siok%20Lan.pdf http://eprints.usm.my/57588/ |
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