Principal Directions-Based Pivot Placement

نویسندگان

  • Fabrizio Angiulli
  • Fabio Fassetti
چکیده

Determining a good sets of pivots is a challenging task for metric space indexing. Several techniques to select pivots from the data to be indexed have been introduced in the literature. In this paper, we propose a pivot placement strategy which exploits the natural data orientation in order to select space points which achieve a good alignment with the whole data to be indexed. Comparison with existing methods substantiates the effectiveness of the approach.

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تاریخ انتشار 2013