The density-based clustering method for privacy-preserving data mining

DOI10.3934/mbe.2019082OpenAlexW2916533050WikidataQ92853396 ScholiaQ92853396MaRDI QIDQ2160689

Zhongcui Li, Jerry Chun- Wei Lin, Chun-Hao Chen, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Youcef Djenouri

Publication date: 3 August 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019082

zbMATH Keywords

optimizationdeletionPareto solutionsdensity clusteringPPDM

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

A new structure entropy of complex networks based on nonextensive statistical mechanics and similarity of nodes ⋮ Fuzzy Gaussian lasso clustering with application to cancer data ⋮ A new structural entropy measurement of networks based on the nonextensive statistical mechanics and hub repulsion

Uses Software

• SPMF

Cites Work

• Case mix index weighted multi-objective optimization of inpatient bed allocation in general hospital
• Unnamed Item
• Unnamed Item

This page was built for publication: The density-based clustering method for privacy-preserving data mining