A Density Peaking Clustering Algorithm for Differential Privacy Preservation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Density Peaking Clustering Algorithm for Differential Privacy Preservation

Published:2023 Issue: Volume:11 Page:54240-54253
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Hua¹^ORCID,Mei Kehui¹^ORCID,Zhou Yuan¹^ORCID,Wang Nan¹^ORCID,Tang Mengdi¹^ORCID,Cai Guangxing¹

Affiliation:

1. School of Science, Hubei University of Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Teaching and Research Project of Hubei Provincial Department of Education

Doctoral Startup Fund of Hubei University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10138821.pdf?arnumber=10138821

Reference38 articles.

1. An improved density peak clustering algorithm guided by pseudo labels

2. Efficient Clustering Method Based on Density Peaks With Symmetric Neighborhood Relationship

3. VDPC: Variational density peak clustering algorithm

4. Effective Density Peaks Clustering Algorithm Based on the Layered K-Nearest Neighbors and Subcluster Merging

5. A New Density Peak Clustering Algorithm Based on Cluster Fusion Strategy

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Differential Private Histogram Publication with Background Knowledge;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. The novel hierarchical clustering approach using self‐organizing map with optimum dimension selection;Health Care Science;2024-04

3. LoHDP: Adaptive local differential privacy for high‐dimensional data publishing;Concurrency and Computation: Practice and Experience;2024-02-07

4. An Approach for Data Publishing with Sensitive Attribute Synthesis;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

5. An Improved Density Peak Clustering Algorithm Based on Chebyshev Inequality and Differential Privacy;Applied Sciences;2023-07-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3