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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Bibliographic Details
Main Author: Zhang, Dong
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54382
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Institution: Nanyang Technological University
Language: English
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