A binary dandelion algorithm using seeding and chaos population strategies for feature selection

Feature selection (FS) is an important pre-processing step in data mining and pattern recognition. It can effectively compress the dimensionality of the feature space to reduce computation time and improve classification performance. The meta-heuristic algorithm-based feature selection method by fin...

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Veröffentlicht in:	Applied soft computing Jg. 125; S. 109166
Hauptverfasser:	Zhao, Yuxin, Dong, Junwei, Li, Xiaobo, Chen, Hui, Li, Shaolang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2022
Schlagworte:	Chaos algorithm Dandelion algorithm Feature selection Metaheuristic algorithm Seeding strategy Chaos algorithm Feature selection Seeding strategy Metaheuristic algorithm Dandelion algorithm
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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