Data stream clustering for low-cost machines-Reference-Cited by-同舟云学术

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Data stream clustering for low-cost machines

Published:2022-08 Issue: Volume:166 Page:57-70
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Cérin Christophe,Kimura Keiji^ORCID,Sow Mamadou

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference29 articles.

1. A framework for clustering evolving data streams;Aggarwal,2003

2. K-means++: the advantages of careful seeding;Arthur,2007

3. Multi-objective data stream clustering;Attaoui,2020

4. Subspace data stream clustering with global and local weighting models;Attaoui;Neural Comput. Appl.,2021

5. K-means vs Mini Batch Kmeans: a comparison;Béjar Alonso,2013

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1. Machine Learning Adoption Model for SME E-Commerce Enhancement;2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2023-05-21

2. Special issue on Distributed Intelligence at the Edge for the Future Internet of Things;Journal of Parallel and Distributed Computing;2023-01

3. World on Data Perspective;World;2022-09-12

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