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SODA
1993
ACM
202views Algorithms» more  SODA 1993»
13 years 7 months ago
Approximate Nearest Neighbor Queries in Fixed Dimensions
Given a set of n points in d-dimensional Euclidean space, S ⊂ Ed , and a query point q ∈ Ed , we wish to determine the nearest neighbor of q, that is, the point of S whose Euc...
Sunil Arya, David M. Mount
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
13 years 7 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount
ICALP
1992
Springer
13 years 9 months ago
On Nearest-Neighbor Graphs
The "nearest neighbor" relation, or more generally the "k nearest neighbors" relation, defined for a set of points in a metric space, has found many uses in co...
Mike Paterson, F. Frances Yao
JPDC
2007
138views more  JPDC 2007»
13 years 5 months ago
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) gr...
Erion Plaku, Lydia E. Kavraki
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
13 years 11 months ago
Exploiting the Tradeoff Between Precision and Cpu-Time to Speed Up Nearest Neighbor Search
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Pierre Roy, Jean-Julien Aucouturier, Franço...