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A balanced hierarchical data structure for multidimensional data with highly efficient dynamic characteristics

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4 Author(s)
Nakamura, Y. ; Mitsubishi Electric Corp., Hyogo, Japan ; Abe, S. ; Ohsawa, Y. ; Sakauchi, M.

A new multidimensional data structure, multidimensional tree (MD-tree), is proposed. The MD-tree is developed by extending the concept of the B-tree to the multidimensional data, so that the MD-tree is a height balanced tree similar to the B-tree. The theoretical worst-case storage utilization is guaranteed to hold more than 66.7% (2/3) of full capacity. The structure of the MD-tree and the algorithms to perform the insertion, deletion, and spatial searching are described. By the series of simulation tests, the performances of the MD-tree and conventional methods are compared. The results indicate that storage utilization is more than 80% in practice, and that retrieval performance and dynamic characteristics are superior to conventional methods

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:5 ,  Issue: 4 )