Parallel batch k-means for Big data clustering

•This paper proposes a new parallel batch clustering algorithm based on k-means.•The algorithm increases the clustering speed.•Real large datasets are used to evaluate the proposed approach.•The analysis shows the practical applicability of the algorithm to Big Data. The application of clustering al...

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Bibliographic Details
Published in:Computers & industrial engineering Vol. 152; p. 107023
Main Authors: Alguliyev, Rasim M., Aliguliyev, Ramiz M., Sukhostat, Lyudmila V.
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.02.2021
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ISSN:0360-8352, 1879-0550
Online Access:Get full text
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