作者: C. Faloutsos , S. Roseman
DOI: 10.1145/73721.73746
关键词: Theoretical computer science 、 Key (cryptography) 、 Access method 、 Geometric data analysis 、 Peano curve 、 Mathematics 、 Cluster analysis 、 k-nearest neighbors algorithm 、 Hilbert curve 、 Fractal
摘要: In this paper we propose the use of fractals and especially Hilbert curve, in order to design good distance-preserving mappings. Such mappings improve performance secondary-key- spatial- access methods, where multi-dimensional points have be stored on an 1-dimensional medium (e.g., disk). Good clustering reduces number disk accesses retrieval, improving response time. Our experiments range queries nearest neighbor showed that proposed curve achieves better than older methods (“bit-shuffling”, or Peano curve), for every situation tried.