A differential privacy protecting K-means clustering algorithm based on contour coefficients

This paper, based on differential privacy protecting K-means clustering algorithm, realizes privacy protection by adding data-disturbing Laplace noise to cluster center point. In order to solve the problem of Laplace noise randomness which causes the center point to deviate, especially when poor ava...

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Bibliografiske detaljer
Udgivet i:PLoS One
Main Authors: Zhang, Yaling, Liu, Na, Wang, Shangping
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2018
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6248925/
https://ncbi.nlm.nih.gov/pubmed/30462662
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0206832
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