Privacy-preserving Constrained Spectral Clustering Algorithm for Large-scale Data Sets

IET Information Security(2020)

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摘要
With the increasing concern on the preservation of personal privacy, privacy-preserving data mining has become a hot topic in recent years. Spectral clustering is one of the most widely used clustering algorithm for exploratory data analysis and usually has to deal with sensitive data sets. How to conduct privacy-preserving spectral clustering is an urgent problem to be solved. In this study, the ...
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关键词
data analysis,data mining,data privacy,pattern clustering
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