A Supervised Filter Feature Selection method for mixed data...

Pattern Recognition Letters 2020 / 10 Vol. 138

A Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis

Solorio-Fernández, Saúl, Martínez-Trinidad, José Fco., Carrasco-Ochoa, J. Ariel
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Volume:
138
Journal:
Pattern Recognition Letters
DOI:
10.1016/j.patrec.2020.07.039
Date:
October, 2020
File:
PDF, 775 KB
2020
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