Improving the performance of feature selection and data clustering with novel global search and elite-guided artificial bee colony algorithm
Crossref DOI link: https://doi.org/10.1007/s11227-019-02786-w
Published Online: 2019-02-27
Published Print: 2019-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Du, Zhenxin
Han, Dezhi
Li, Kuan-Ching http://orcid.org/0000-0003-1381-4364
Funding for this research was provided by:
National Natural Science Foundation of China (61672338)
National Natural Science Foundation of China (61673160)
Text and Data Mining valid from 2019-02-27
Article History
First Online: 27 February 2019