A Novel Hybrid Algorithm for Feature Selection Based on Whale Optimization Algorithm

Feature selection enhances classification accuracy by removing irrelevant and redundant feature. Feature selection plays an important role in data mining and pattern recognition. In this paper, we propose a hybrid feature subset selection algorithm called the maximum Pearson maximum distance improve...

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Vydáno v:	IEEE access Ročník 7; s. 14908 - 14923
Hlavní autoři:	Zheng, Yuefeng, Li, Ying, Wang, Gang, Chen, Yupeng, Xu, Qian, Fan, Jiahao, Cui, Xueting
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Algorithms Classification Classification algorithms Correlation coefficients Data mining Feature extraction Feature selection filter Filtering algorithms Machine learning Machine learning algorithms MPMD Optimization Optimization algorithms Pattern recognition Redundancy threshold Whales WOA
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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