Infrared and Laser Engineering, Volume. 31, Issue 1, 77(2002)

Study on the index of high dimensional data space

[in Chinese]* and [in Chinese]
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    References(5)

    [1] [1] Guttman A. R-Trees: A Dynamic Index Structure for Spatial Searching[A]. Proc. ACM SIGMOD Int. Conf. on Management of Data[C]. Boston, MA, 1984. 47-57.

    [2] [2] Beckmann N, Kriegel H P, Schneider R, et al. The R-Tree: An Efficient Robust Access Method for Points and Rectangles[A]. Proc. ACM SIGMOD Int. Conf. on Management of Data[C]. Atlantic City, NJ, 1990. 322-331.

    [3] [3] Berchtold S, Keim D, Kriegel H P. The X-Tree: An Index Structure for High-Dimensional Data[A]. 22nd Conf. on Very Large Databases[C]. Bombay, India, 1996. 28-39.

    [4] [4] Lin K, Jagadish H V, Faloutsos C. The TV-Tree: An Index Structure for High-Dimensional Data[J]. VLDB Journal, 1995, 3:517-542.

    [5] [5] Kamel I, Faloutsos C. Hilbert R-tree: An Improved R-Tree Using Fractals[A]. Proc. 20th Int. Conf. on Very Large Databases[C]. 1994. 500-509.

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    [in Chinese], [in Chinese]. Study on the index of high dimensional data space[J]. Infrared and Laser Engineering, 2002, 31(1): 77

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    Paper Information

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    Received: Jul. 12, 2001

    Accepted: Oct. 20, 2001

    Published Online: Apr. 28, 2006

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