On the Feature Selection Criterion Based on an Approximation of Multidimensional Mutual Information

Authors:
Kiran S. Balagani;Vir V. Phoha
Affiliations:
Louisiana Tech University, Ruston;Louisiana Tech University, Ruston
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2010

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Abstract

We derive the feature selection criterion presented in [CHECK END OF SENTENCE] and [CHECK END OF SENTENCE] 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.