Towards an efficient real-time kernel function stream clustering method via shared nearest-neighbor density for the IIoT

•The Euler kernel function is used to map the data to the complex feature space.•The shared-neighbor density is used to divide the micro-clusters.•This paper proposes a novel projection data stream summary structure.•Relearning strategy is used to reduce the misjudgment of outliers for fusion sets....

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Bibliographic Details

Published in:	Information Sciences Vol. 566; pp. 364 - 378
Main Authors:	Huang, Ruohe, Xiao, Ruliang, Zhu, Weifu, Gong, Ping, Chen, Jinhui, Rida, Imad
Format:	Journal Article
Language:	English Japanese
Published:	Elsevier Inc 01.08.2021 Elsevier BV Elsevier
Subjects:	[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] [INFO]Computer Science [cs] Artificial Intelligence Computer Science Euler kernel function Relearning strategy Shared nearest-neighbor density Stream clustering Stream data mining Stream clustering Euler kernel function Stream data mining Relearning strategy Shared nearest-neighbor density
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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