Supervised feature selection based on rough set theory and expectation-maximization algorithm
This report studies the feature selection based on the Expectation-Maximization Rough Set (RSEM) algorithm. The Expectation-Maximization clustering method extends the classical Rough Set concept of equivalent classes to tolerance classes, and enables the Feature Selection methods based on the tradit...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/54382 |
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| Institution: | Nanyang Technological University |
| Language: | English |