7th IEEE International Conference on Computer and Information Technology (CIT 2007) An Experimental Study on Feature Subset Selection Methods Aizu-Wakamatsu City, Fukushima, Japan October 16-October 19 ISBN: 0-7695-2983-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2007.81
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some feature selection algorithms and analyze their performance using various datasets from public domain. We measured the number of reduced features and the improvement of learning performance with chosen feature selection methods, then evaluated and compared each method on the basis of these measurements.
Citation:
Chulmin Yun, Donghyuk Shin, Hyunsung Jo, Jihoon Yang, Saejoon Kim, "An Experimental Study on Feature Subset Selection Methods," cit, pp.77-82, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||