Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Reference34 articles.
1. Abualigah LMQ (2019) Feature selection and enhanced Krill herd algorithm for text document clustering. Springer, Berlin
2. 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
3. Abualigah LM, Khader AT, Hanandeh ES (2018a) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 25:456–466
4. Abualigah LM, Khader AT, Hanandeh ES (2018b) A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis. Eng Appl Artif Intell 73:111–125
5. Alcala-Fdez J, Fernandez A, Luengo J, Derrac J, Garcia S (2011) Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. Multiple Valued Log Soft Comput 17:255–287
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献