1. Qin, J., et al.: Distributed k-means algorithm and fuzzy c-means algorithm for sensor networks based on multiagent consensus theory. IEEE Trans. Cybernet. 47(3), 772–783 (2017)
2. Liang, J., Bai, L., Dang, C., Cao, F.: The K-means-type algorithms versus imbalanced data distributions. IEEE Trans. Fuzzy Syst. 20(4), 728–745 (2012)
3. Ben Salem, S., Naouali, S., Chtourou, Z.: A fast and effective partitional clustering algorithm for large categorical datasets using a k-means based approach. Comput. Electr. Eng. 68, 463–483 (2018)
4. Ben Salem, S., Naouali, S., Chtourou, Z.: A computational cost-effective clustering algorithm in multidimensional space using the Manhattan Metric: application to the Global Terrorism Database. In: 19th International Conference on Machine Learning and Applications (ICMLA) (2017)
5. Ben Salem, S., Naouali, S., Chtourou, Z.: Clustering categorical data using the k-means algorithm and the attribute’s relative frequency clustering categorical data using the k-means algorithm and the attribute’s relative frequency. In: 19th International Conference on Machine Learning and Applications (ICMLA) (2017)