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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning
verfasst von : Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma
Erschienen in: Scientific and Statistical Database Management
Verlag: Springer Berlin Heidelberg
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Many applications require to determine the
k
-nearest neighbors for multiple query points simultaneously. This task is known as all-(
k
)-nearest- neighbor (A
k
NN) query. In this paper, we suggest a new method for efficient A
k
NN query processing which is based on spherical approximations for indexing and query set representation. In this setting, we propose trigonometric pruning which enables a significant decrease of the remaining search space for a query. Employing this new pruning method, we considerably speed up A
k
NN queries.