An Experimental Study on Feature Subset Selection Methods

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.

• Type: Conference
• Year: 2007
• Where: IEEECIT
• Authors: Chulmin Yun, Donghyuk Shin, Hyunsung Jo, Jihoon Yang, Saejoon Kim
• Keywords: Feature Selection, Feature Selection Algorithms, Feature Subset Selection, IEEECIT 2007, Information Technology