Faster Facility Location and Hierarchical Clustering

نویسندگان

  • J. Skála
  • I. Kolingerová
چکیده

We propose several methods to speed up the facility location, and the single link and the complete link clustering algorithms. The local search algorithm for the facility location is accelerated by introducing several space partitioning methods and a parallelisation on the CPU of a standard desktop computer. The influence of the cluster size on the speedup is documented. The paper further presents the computation of the single link and the complete link clustering on the GPU using the CUDA architecture.

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تاریخ انتشار 2010