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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主要作者: Zhang, Dong
其他作者: Wang Lipo
格式: Final Year Project
語言:English
出版: 2013
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在線閱讀:http://hdl.handle.net/10356/54382
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機構: Nanyang Technological University
語言: English