Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor ( knn) graphs. The knn graph of a data set is obtained by connecting each point to its k closest points. As the research in the a...
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Veröffentlicht in: | Journal of parallel and distributed computing 2007-03, Vol.67 (3), p.346-359 |
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Sprache: | eng |
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