An Improved Density Peak Clustering Algorithm Based on Chebyshev Inequality and Differential Privacy

An Improved Density Peak Clustering Algorithm Based on Chebyshev Inequality and Differential Privacy

This study aims to improve the quality of the clustering results of the density peak clustering (DPC) algorithm and address the privacy protection problem in the clustering analysis process. To achieve this, a DPC algorithm based on Chebyshev inequality and differential privacy (DP-CDPC) is proposed...

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Bibliographic Details
Main Authors: Hua Chen, Yuan Zhou, Kehui Mei, Nan Wang, Mengdi Tang, Guangxing Cai
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
DPC algorithm
differential privacy
cosine distance
dichotomy method
Chebyshev inequality
Online Access:https://www.mdpi.com/2076-3417/13/15/8674

Internet

https://www.mdpi.com/2076-3417/13/15/8674

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