Efficient Similarity Search in Feature Spaces with the Q-Tree

  • Authors:
  • Elena Jurado;Manuel Barrena García

  • Affiliations:
  • -;-

  • Venue:
  • ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
  • Year:
  • 2002

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Abstract

In many database applications similarity search is a typical operation that must be efficiently processed. A class of techniques to implement similarity queries which has demonstrated acceptable results includes the use of a nearest neighbor search algorithm on top of a multidimensional access method. We propose a new algorithm based on the space organization induced by the Q-tree. Specifically, a metric is used to discard internal zones of a cube that have been previously extracted from it. Our experiments based on both synthetic and real data sets show that our approach outperforms other competitive techniques like R*-tree, M-tree, and Hybrid-tree.