A Clustering Method for Optimizing Spatial Locality

공간국부성을 최적화하는 클러스터링 방법

  • 김홍기 (동신대학교 컴퓨터학과)
  • Published : 2004.04.01

Abstract

In this paper, we study the CCD(Clustering with Circular Distance) and the COD(Clustering with Obstructed Distance) problems to be considered when objects are being clustered in a circularly search space and a search space with the presence of obstacles. We also propose a now clustering algorithm for clustering efficiently objects that the insertion or the deletion is occurring frequently in multi-dimensional search space. The distance function for solving the CCD and COD Problems is defined in the Proposed clustering algorithm. This algorithm is included a clustering method to create clusters that have a high spatial locality by minimum computation time.

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