An improved bacterial colony optimization using opposition-based learning for data clustering

Author:

Prakash V. S.,Vinothina V.,Kalaiselvi K.,Velusamy K.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference49 articles.

1. Babu, S.S., Jayasudha, K.: A survey of nature-inspired algorithm for partitional data clustering. in J. Phys.: Conf. Ser. (2020).

2. Majhi, S.K., Biswal, S.: Optimal cluster analysis using hybrid K-means and ant lion optimizer. Karbala Int. J. Modern Sci. 4(4), 347–360 (2018)

3. Revathi, J., Eswaramurthy, V., Padmavathi, P.: Bacterial colony optimization for data clustering. In 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE (2019).

4. Revathi, J., Eswaramurthy, V., Padmavathi, P.: Hybrid data clustering approaches using bacterial colony optimization and k-means. IOP Conf. Ser.: Mater. Sci. Eng. 1070, 012064 (2021)

5. Vijayakumari, K., Deepa, V.B.: Fuzzy means C-hybrid with fuzzy bacterial colony optimization. In: Sengodan, T., Murugappan, M., Misra, S. (eds.) Advances in electrical and computer technologies: select proceedings of ICAECT 2020. Springer Singapore (2021)

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