Feature selection based on mutual information

By Muhammad Aliyu Sulaiman, Jane Labadin. International Conference on Information Technology in Asia, 2015

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Measuring the Effectiveness of Various Features for Thematic Information Extraction From Very High Resolution Remote Sensing Imagery (2015, methodology): “However, many existing feature selection methods have been designed for selecting a feature subset that distinguish among all classes rather than selecting separate feature subsets for each class [12], [14], such as mRMR [15] and methods using Jeffries-Matusita distance [12].”
Quantitative Measurements of model interpretability for the analysis of spectral data (2013, methodology): “A popular scheme is the maximum dependency (Max-Dependency) - minimal redundancy (MinRedundancy) approach [11].”
Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers (2013, methodology): “Wavebands Selection The MRMR feature selection method (Peng et al. 2005) was used to select the optimal wavebands from the hyperspectral images for discriminating defective cucumbers from the normal ones.”