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
@article{arxiv.2202.06478,
title = {Homogenous and Heterogenous Parallel Clustering: An Overview},
author = {Ahmed Ibrahim and Rokaya Hassanien},
journal= {arXiv preprint arXiv:2202.06478},
year = {2022}
}
Comments
Authors have contributed equally; 9 Pages, 10 Figures; Keywords: Parallel clustering, Split Strategies, and Quality Measures