A Survey of Clustering Algorithms Based on Parallel Mechanism

DOI

10.2991/cmsa-18.2018.28How to use a DOI?

Keywords

parallelism mechanism; parallel computing platform; parallel clustering algorithm

Abstract

With the rapid development of the Internet and mobile Internet, the amount of data and information generated by people has dramatically increased. The demand for rapid processing of data by computers has become increasingly urgent. Clustering analysis is one of the most important data processing methods. Existing clustering algorithms have a high time complexity in calculating the center point and a large amount of resource consumption and poor execution efficiency in the serial processing of mass data. Therefore, efficient and accurate parallel clustering algorithms need to be studied. This paper introduced the parallel mechanism and its computing platform, summarized the existing parallel clustering algorithms, classified them according to clustering methods, and discuss the key technologies and platforms proposed in the existing work.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xingang Wang
PY  - 2018/04
DA  - 2018/04
TI  - A Survey of Clustering Algorithms Based on Parallel Mechanism
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 119
EP  - 122
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.28
DO  - 10.2991/cmsa-18.2018.28
ID  - Wang2018/04
ER  -