Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy
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DOI: 10.3390/e25020325
Abstract: Feature selection refers to a vital function in machine learning and data mining. The maximum weight minimum redundancy feature selection method not only considers the importance of features but also reduces the redundancy among features.… read more here.
Keywords: redundancy; maximum weight; weight minimum; feature selection ... See more keywords