Cite
Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performance.
MLA
Mousavian Anaraki, Seyed Alireza, et al. “Generating Balanced and Strong Clusters Based on Balance-Constrained Clustering Approach (Strong Balance-Constrained Clustering) for Improving Ensemble Classifier Performance.” Neural Computing & Applications, vol. 34, no. 23, Dec. 2022, pp. 21139–55. EBSCOhost, https://doi.org/10.1007/s00521-022-07595-6.
APA
Mousavian Anaraki, S. A., Haeri, A., & Moslehi, F. (2022). Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performance. Neural Computing & Applications, 34(23), 21139–21155. https://doi.org/10.1007/s00521-022-07595-6
Chicago
Mousavian Anaraki, Seyed Alireza, Abdorrahman Haeri, and Fateme Moslehi. 2022. “Generating Balanced and Strong Clusters Based on Balance-Constrained Clustering Approach (Strong Balance-Constrained Clustering) for Improving Ensemble Classifier Performance.” Neural Computing & Applications 34 (23): 21139–55. doi:10.1007/s00521-022-07595-6.