Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy

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. However, the characteristics of various datasets are not iden...

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Hlavní autoři:	Xiling Liu, Shuisheng Zhou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-02-01
Edice:	Entropy
Témata:	feature selection Relief maximum weight minimum redundancy kernel partial least squares
On-line přístup:	https://www.mdpi.com/1099-4300/25/2/325
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