Maximum relevance minimum common redundancy feature selection for nonlinear data

Title
Maximum relevance minimum common redundancy feature selection for nonlinear data
Authors
Keywords
Feature selection, Mutual information, Normalization, Minimal common redundancy, Maximal relevance
Journal
INFORMATION SCIENCES
Volume 409-410, Issue -, Pages 68-86
Publisher
Elsevier BV
Online
2017-05-10
DOI
10.1016/j.ins.2017.05.013

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