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Homogenous and Heterogenous Parallel Clustering: An Overview

Recent advances in computer architecture and networking opened the opportunity for parallelizing the clustering algorithms. This divide-and-conquer strategy often results in better results to centralized clustering with a much-improved time performance. This paper reviews key parallel clustering and provides insight into their strategy. The review brings together disparate attempts in parallel clustering to provide a comprehensive account of advances in this emerging field

preprint2022arXivOpen access
Ahmed IbrahimRokaya Hassanien
Machine LearningDistributed, Parallel, and Cluster Computing
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Open access2 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Ahmed IbrahimRokaya Hassanien

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