A Uniied Model for Similarity Searching ?

نویسندگان

  • Gonzalo Navarro
  • Ricardo Baeza-Yates
چکیده

The indexing algorithms and data structures for similarity searching in metric spaces seem to emerge from a great diversity, and diierent approaches have been proposed and analyzed separately, often under diierent assumptions. Currently, the only realistic way to compare two diierent algorithms is to apply them to the same data set. We present a uniied model for studying similarity searching algorithms, deening common complexity measures allowing comparison between different approaches.

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تاریخ انتشار 2008