A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures

Datasets with thousands of features represent a challenge for many of the existing learning methods because of the well known curse of dimensionality. Not only that, but the presence of irrelevant and redundant features on any dataset can degrade the performance of any model where training and infer...

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Bibliographic Details
Published inMachine learning and knowledge extraction Vol. 4; no. 1; pp. 131 - 149
Main Authors Garcia-Ramirez, Ivan-Alejandro, Calderon-Mora, Arturo, Mendez-Vazquez, Andres, Ortega-Cisneros, Susana, Reyes-Amezcua, Ivan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2022
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