A survey on parallel clustering algorithms for Big Data

Data clustering is one of the most studied data mining tasks. It aims, through various methods, to discover previously unknown groups within the data sets. In the past years, considerable progress has been made in this field leading to the development of innovative and promising clustering algorithm...

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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 54; no. 4; pp. 2411 - 2443
Main Authors:	Dafir, Zineb, Lamari, Yasmine, Slaoui, Said Chah
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.04.2021 Springer Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Big Data Classification Clustering Computer Science Context Data mining Digital integrated circuits Field programmable gate arrays Information retrieval Microprocessors Peer relationships Peer to peer computing Peers Social networks Surveys means Algorithms FPGA MPI Big Data DBSCAN Spark Clustering Data mining GPU Multi-cores CPU MapReduce
ISSN:	0269-2821, 1573-7462
Online Access:	Get full text
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