Efficient algorithm for big data clustering on single machine

Big data analysis requires the presence of large computing powers, which is not always feasible. And so, it became necessary to develop new clustering algorithms capable of such data processing. This study proposes a new parallel clustering algorithm based on the k-means algorithm. It significantly...

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Bibliographic Details
Main Authors: Rasim M. Alguliyev, Ramiz M. Aliguliyev, Lyudmila V. Sukhostat
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0048