Searching optimal feature subset using mutual information

A novel feature selection methodology is proposed with the concept of mutual information. The proposed methodology effectively circumvents two major problems in feature selection process: to identify the irrelevancy and redundancy in the feature set, and to estimate the optimal feature subset for classification task.

• Type: Conference
• Year: 2003
• Where: ESANN
• Authors: D. Huang, Tommy W. S. Chow
• Keywords: ESANN 2003, ESANN 2007, Feature Selection, Feature Selection Methodology, Feature Selection Process