Supervised feature selection based on rough set theory and expectation-maximization algorithm

• المؤلف الرئيسي: Zhang, Dong
• مؤلفون آخرون: Wang Lipo
• التنسيق: Final Year Project
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/54382

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...