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Best Bin First

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Best Bin First is a search algorithm which is designed to efficiently find an approximate solution to the Nearest Neighbor Search Problem in very high dimensional spaces. The algorithm is based on a variant of the kd-tree search algorithm which makes indexing higher dimensional spaces possible. Best Bin First is an approximate algorithm which returns the nearest-neighbor for a large fraction of queries and a very close neighbor otherwise.

Difference from kd-tree

References

  1. ^ Beis, J. and Lowe, D. G. 1997. Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In Conference on Computer Vision and Pattern Recognition, Puerto Rico, pp. 1000-1006.


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