DocumentCode
1442965
Title
On the Feature Selection Criterion Based on an Approximation of Multidimensional Mutual Information
Author
Balagani, Kiran S. ; Phoha, Vir V.
Author_Institution
Center for Secure Cyberspace, Comput. Sci., Louisiana Tech Univ., Ruston, LA, USA
Volume
32
Issue
7
fYear
2010
fDate
7/1/2010 12:00:00 AM
Firstpage
1342
Lastpage
1343
Abstract
We derive the feature selection criterion presented in [1] and [2] from the multidimensional mutual information between features and the class. Our derivation: 1) specifies and validates the lower-order dependency assumptions of the criterion and 2) mathematically justifies the utility of the criterion by relating it to Bayes classification error.
Keywords
Bayes methods; pattern classification; Bayes classification error; feature selection criterion; lower-order dependency assumption; multidimensional mutual information; Bayes classification error; Feature selection; entropy; entropy estimation.; mutual information;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2010.62
Filename
5432207
Link To Document