A collaborative fuzzy clustering algorithm in distributed network environments
Zhou J.1,2; Philip Chen C.L.2; Chen L.2; Li H.-X.3
2014
Source PublicationIEEE Transactions on Fuzzy Systems
ISSN10636706
Volume22Issue:6Pages:1443
Abstract

Due to privacy and security requirements or technical constraints, traditional centralized approaches to data clustering in a large dynamic distributed peer-to-peer network are difficult to perform. In this paper, a novel collaborative fuzzy clustering algorithm is proposed, in which the centralized clustering solution is approximated by performing distributed clustering at each peer with the collaboration of other peers. The required communication links are established at the level of cluster prototype and attribute weight. The information exchange only exists between topological neighboring peers. The attribute-weight-entropy regularization technique is applied in the distributed clustering method to achieve an ideal distribution of attribute weights, which ensures good clustering results. And the important features are successfully extracted for the high-dimensional data clustering. The kernelization of the proposed algorithm is also realized as a practical tool for clustering the data with "nonspherical"-shaped clusters. Experiments on synthetic and real-world datasets have demonstrated the efficiency and superiority of the proposed algorithms. © 2013 IEEE.

KeywordCollaborative Clustering Distributed Peer-to-peer Network Kernel-based Clustering Subspace Clustering.
DOI10.1109/TFUZZ.2013.2294205
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000345857000006
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:58   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Univ Jinan, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China
2.Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Taipa, Macau, Peoples R China
3.City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhou J.,Philip Chen C.L.,Chen L.,et al. A collaborative fuzzy clustering algorithm in distributed network environments[J]. IEEE Transactions on Fuzzy Systems,2014,22(6):1443.
APA Zhou J.,Philip Chen C.L.,Chen L.,&Li H.-X..(2014).A collaborative fuzzy clustering algorithm in distributed network environments.IEEE Transactions on Fuzzy Systems,22(6),1443.
MLA Zhou J.,et al."A collaborative fuzzy clustering algorithm in distributed network environments".IEEE Transactions on Fuzzy Systems 22.6(2014):1443.
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