Abstract
Multimedia databases usually deal with huge amounts of data and it is necessary to have an indexing structure such that efficient retrieval of data can be provided. R-Tree with its variations, is a commonly cited indexing method. In this paper we propose an improved nearest neighbor search algorithm on the R-tree and its variants. The improvement lies in the removal of two hueristics that have been used in previous R*-tree work, which we prove cannot improve on the pruning power during a search.
Cite
CITATION STYLE
Cheung, K. L., & Fu, A. W. C. (1998). Enhanced Nearest Neighbour Search on the R-tree. SIGMOD Record (ACM Special Interest Group on Management of Data), 27(3), 16–21. https://doi.org/10.1145/290593.290596
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