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Uncertain Data Clustering in Distributed Peer-to-Peer Networks
Zhou, Jin1,2; Chen, Long3; Chen, C. L. Philip3,4,5; Wang, Yingxu1,2; Li, Han-Xiong6
2018-06
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN2162-237X
Volume29Issue:6Pages:2392-2406
Abstract

Uncertain data clustering has been recognized as an essential task in the research of data mining. Many centralized clustering algorithms are extended by defining new distance or similarity measurements to tackle this issue. With the fast development of network applications, these centralized methods show their limitations in conducting data clustering in a large dynamic distributed peer-to-peer network due to the privacy and security concerns or the technical constraints brought by distributive environments. In this paper, we propose a novel distributed uncertain data clustering algorithm, in which the centralized global clustering solution is approximated by performing distributed clustering. To shorten the execution time, the reduction technique is then applied to transform the proposed method into its deterministic form by replacing each uncertain data object with its expected centroid. Finally, the attribute-weight-entropy regularization technique enhances the proposed distributed clustering method to achieve better results in data clustering and extract the essential features for cluster identification. The experiments on both synthetic and real-world data have shown the efficiency and superiority of the presented algorithm.

KeywordAttribute Weight Entropy Distributed Clustering Peer-to-peer (P2p) Networks Uncertain Data
DOI10.1109/TNNLS.2017.2677093
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000432398300028
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
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Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Univ Jinan, Shandong Prov Key Lab Network Based Intelligent C, Jinan 250022, Shandong, Peoples R China
2.Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Shandong, Peoples R China
3.Univ Macau, Fac Sci & Technol, Macau 99999, Peoples R China
4.UMacau Res Inst, Zhuhai 519080, Peoples R China
5.Dalian Maritime Univ, Dalian 116026, Peoples R China
6.City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Jin,Chen, Long,Chen, C. L. Philip,et al. Uncertain Data Clustering in Distributed Peer-to-Peer Networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(6):2392-2406.
APA Zhou, Jin,Chen, Long,Chen, C. L. Philip,Wang, Yingxu,&Li, Han-Xiong.(2018).Uncertain Data Clustering in Distributed Peer-to-Peer Networks.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(6),2392-2406.
MLA Zhou, Jin,et al."Uncertain Data Clustering in Distributed Peer-to-Peer Networks".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.6(2018):2392-2406.
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