An Efficient Data Structure for Organizing Multidimensional Data

An Efficient Data Structure for Organizing Multidimensional Data

Guang-Ho Cha (Tongmyong University of Information Technology, South Korea) and Chin-Wan Chung (Korea Advanced Institute of Science and Technology, Korea)
Copyright: © 1997 |Pages: 13
DOI: 10.4018/jdm.1997100101
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Abstract

We propose an efficient data structure called the HG-tree (or Hilbert Grid tree) for organizing multidimensional data which are typically points in some domain space. The data structure is developed by extending the concept of the B*-tree to the multidimensional data, so that it guarantees the worst-case storage utilization to have more than 66.7% (2/3) of full capacity. It also maintains compactly the area covered by the directory regions of the data structure, so that it reduces the empty space of the directory region; therefore, the search cost is reduced. We present the design of our data structure and associated algorithms and demonstrate that it is possible to run various range queries and nearest neighbor queries efficiently using this structure. A comparison with the buddy-tree, which is one of the most successful data structures for multidimensional space, is carried out and the advantages of the HG-tree over it are discussed.

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