A Survey of Clustering Algorithms Based on Parallel Mechanism
Xingang Wang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2018
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.