Using Tuneable Fuzzy Similarity in Non-metric Search

  • Authors:
  • Peter Vojtas;Alan Eckhardt

  • Affiliations:
  • -;-

  • Venue:
  • SISAP '09 Proceedings of the 2009 Second International Workshop on Similarity Search and Applications
  • Year:
  • 2009

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Abstract

We propose an alternate method for indexing data for answering queries in non-metric spaces. The traditional use of distance and triangle inequality is substituted with the use of fuzzy similarity fulfilling the transitivity property with a tuneable fuzzy conjunctor. In a non-metric space it is still possible that there is a fuzzy conjunctor such that transitivity holds and usual indexing techniques based on pivots for range queries can be applied.