Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
http://link.springer.com/content/pdf/10.1007/s00366-021-01342-6.pdf
Reference64 articles.
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3. Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773–4795
4. Alhaj YA, Xiang J, Zhao D, Al-Qaness MAA, Elaziz MA, Dahou A (2019) A study of the effects of stemming strategies on arabic document classification. IEEE Access 7:32664–32671
5. Abualigah LMQ (2019) Feature selection and enhanced krill herd algorithm for text document clustering. Springer, Berlin
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