Feature selection based on the rough set theory and expectation-maximization clustering algorithm

F Fazayeli, L Wang, J Mandziuk - … Conference on Rough Sets and Current …, 2008 - Springer
Abstract We study the Rough Set theory as a method of feature selection based on tolerant
classes that extends the existing equivalent classes. The determination of initial tolerant …
被引用次数：57 相关文章

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - Rough Sets and Current Trends in Computing - infona.pl
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …
[PDF] researchgate.net

[PDF][PDF] Feature Selection Based on the Rough Set Theory and EM Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - researchgate.net
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - … OH, USA, October 23-25, 2008 …, 2008 - books.google.com
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …
[PDF] academia.edu

[PDF][PDF] Feature Selection Based on the Rough Set Theory and EM Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - academia.edu
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - Rough Sets and Current Trends in Computing - Springer
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …
[PDF] ntu.edu.sg

[PDF][PDF] Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - personal.ntu.edu.sg
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - … of the 6th International Conference on …, 2008 - dl.acm.org
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

F Fazayeli, L Wang, J Mańdziuk - 2008 - repo.pw.edu.pl
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …
[PDF] pw.edu.pl

[PDF][PDF] Feature Selection Based on the Rough Set Theory and EM Clustering Algorithm

F Fazayeli, L Wang, J Mandziuk - pages.mini.pw.edu.pl
We study the Rough Set theory as a method of feature selection based on tolerant classes
that extends the existing equivalent classes. The determination of initial tolerant classes is a …