Approximative fast nearest-neighbour recognition

  • Authors:
  • L. Miclet;M. Dabouz

  • Affiliations:
  • École Nationale Supérieure des Télecommunications, 46 Rue Barrault, 75634 Paris 13, France;École Nationale Supérieure des Télecommunications, 46 Rue Barrault, 75634 Paris 13, France

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1983

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Abstract

We analyze (on pseudo-randomly generated data) the errors committed with a log(N) algorithm, attempting to recognize the nearest neighbour among N vectors. We propose improvements in O(log(N)), and present an example of application on speech data.