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A Parallel GPU-Based Approach to Clustering Very Fast Data Streams
2015
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15
Clustering data streams has become a hot topic in the era of big data. Driven by the ever increasing volume, velocity and variety of data, more efficient algorithms for clustering large-scale complex data streams are needed. In this paper, we present a parallel algorithm called PaStream, which is based on advanced Graphics Processing Unit (GPU) and follows the online-offline framework of CluStream. Our approach can achieve hundreds of times speedup on high-speed and high-dimensional data
doi:10.1145/2806416.2806545
dblp:conf/cikm/HuangLY15
fatcat:mrcsqqlwnvdnjpy3ax6fgoc7la