Artificial rabbits optimization algorithm with automatically DBSCAN clustering algorithm to similarity agent update for features selection problems

Feature selection is one of the important steps in data mining to reduce the dimensions of datasets. Due to the fact that feature selection is inherently a NP-hard problem, no deterministic algorithm has been identified to solve this problem in acceptable time. Meta-heuristic algorithms are reliable...

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Podrobná bibliografie
Vydáno v:	The Journal of supercomputing Ročník 81; číslo 1; s. 150
Hlavní autoři:	Hamdipour, Ali, Basiri, Abdolali, Zaare, Mostafa, Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.01.2025 Springer Nature B.V
Témata:	Accuracy Algorithms Classification Clustering Collaboration Compilers Computer Science Data mining Datasets Feature selection Heuristic Heuristic methods Interpreters Machine learning Methods Neural networks Optimization Optimization algorithms Performance enhancement Performance evaluation Processor Architectures Programming Languages Source code DBSCAN Feature selection Artificial rabbits optimization ARO Optimization
ISSN:	0920-8542, 1573-0484
On-line přístup:	Získat plný text
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