Differential Privacy Protection Algorithm for Data Clustering Center

Author:

Ma Mingyang,Yang Hongyong,Liu Fei

Publisher

Springer Nature Switzerland

Reference8 articles.

1. Cheng, Q.: Research on improvement of K-means clustering algorithm based on differential privacy. Guangxi University (2021). https://doi.org/10.27034/d.cnki.ggxiu.2021.000705

2. Ding, Z., Lin, K.: Research on key technologies of privacy protection in the context of big data. Comput. Program. Skills Maint. 02, 72–74 (2022). https://doi.org/10.16184/j.cnki.comprg.2022.02.048

3. Mac Queen, J.: Some methods for classification and analysis of multivariate observation. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–297. University of California Press, Berkeley (1967)

4. Oliveira, G.V., Coutinho, F.P., Campello, R.J.G.B., et al.: Improving K-means through distributed scalable metaheuristics. Neurocomputing 246, 45–57 (2017)

5. Yang, J., Zhao, C.: Survey on K-means clustering algorithm. Comput. Eng. Appl. 055(023), 7–14, 63 (2019)

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