Feature Selection Methods Based on Symmetric Uncertainty Coefficients and Independent Classification Information
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DOI: 10.1109/access.2021.3049815
Abstract: Feature selection is a critical step in the data preprocessing phase in the field of pattern recognition and machine learning. The core of feature selection is to analyze and quantify the relevance, irrelevance, and redundancy… read more here.
Keywords: selection methods; selection; feature selection; independent classification ... See more keywords