Privacy-preserving clustering for big data in cyber-physical-social systems: Survey and perspectives

Volume: 515, Pages: 132 - 155
Published: Apr 1, 2020
Abstract
Clustering technique plays a critical role in data mining, and has received great success to solve application problems like community analysis, image retrieval, personalized recommendation, activity prediction, etc. This paper first reviews the traditional clustering and the emerging multiple clustering methods, respectively. Although the existing methods have superior performance on some small or certain datasets, they fall short when...
Paper Details
Title
Privacy-preserving clustering for big data in cyber-physical-social systems: Survey and perspectives
Published Date
Apr 1, 2020
Volume
515
Pages
132 - 155
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