On the feature selection criterion based on an approximation of multidimensional mutual information.
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.
Balagani
Kiran S
KS
Center for Secure Cyberspace, Computer Science,Louisiana Tech University, Nethken Hall, 600 W. Arizona Ave., Ruston,LA 71272, USA. ksb011@latech.edu
Phoha
Vir V
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