The Implementation of a RandomizedPreprocessing Scheme for Nearest NeighborQueries

نویسندگان

  • Binhai Zhu
  • C. L. Winter
چکیده

In this paper, we study the classical problem of preprocessing a set of points to answer nearest neighbor queries on a large spatial database, assuming a coarse grained parallel processor is available. We implement a known randomized prepro-cessing scheme which can answer these nearest neighbor queries very fast on such a machine. We present some practical performance results of our preliminary program on randomly generated data on a CM-5. Based on these preliminary testing results, we also discuss some options to speed up the preprocessing scheme when it is used in a real system.

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تاریخ انتشار 2007