Fast Index Filtering in Vector Approximation File

  • Authors:
  • Władysław Skarbek;Thomas Sikora;Grzegorz Galinski

  • Affiliations:
  • Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, Warsaw, Poland;Communications Systems Department, Technical University of Berlin, Germany;Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, Warsaw, Poland

  • Venue:
  • Fundamenta Informaticae
  • Year:
  • 2004

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Abstract

Several fast filtering attributes are analysed for vector interval (cell) pruning while querying the vector approximation file. Beside distance range, sum and median features their deviation forms are introduced. Range and K-NN queries are considered and appropriate acceptance intervals are designed. The impact of feature space dimensionality on index design is discussed, too.