Searching dynamic point sets in spaces with bounded doubling dimension

  • Authors:
  • Richard Cole;Lee-Ad Gottlieb

  • Affiliations:
  • New York University, New York, NY;New York University, New York, NY

  • Venue:
  • Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data structure has linear size and supports insertions and deletions in O(log n) time, and finds a (1+ε)-approximate nearest neighbor in time O(log n) + (1/ε)O(1). The search and update times hide multiplicative factors that depend on the doubling dimension; the space does not. These performance times are independent of the aspect ratio (or spread) of the points.