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» Finding nearest neighbors in growth-restricted metrics
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STOC
2002
ACM
140views Algorithms» more  STOC 2002»
14 years 5 months ago
Finding nearest neighbors in growth-restricted metrics
Most research on nearest neighbor algorithms in the literature has been focused on the Euclidean case. In many practical search problems however, the underlying metric is non-Eucl...
David R. Karger, Matthias Ruhl

Publication
417views
14 years 1 months ago
Data Structures and Algorithms for Nearest Neighbor Search in General Metric Spaces
We consider the computational problem of finding nearest neighbors in general metric spaces. Of particular interest are spaces that may not be conveniently embedded or approximate...
Peter N. Yianilos
STOC
2006
ACM
138views Algorithms» more  STOC 2006»
14 years 5 months ago
Searching dynamic point sets in spaces with bounded doubling dimension
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
Richard Cole, Lee-Ad Gottlieb
SODA
2004
ACM
107views Algorithms» more  SODA 2004»
13 years 6 months ago
A note on the nearest neighbor in growth-restricted metrics
In this paper, we give results relevant to sequential and distributed dynamic data structures for finding nearest neighbors in growth-restricted metrics. Our sequential data struc...
Kirsten Hildrum, John Kubiatowicz, Sean Ma, Satish...
SIGMOD
2006
ACM
127views Database» more  SIGMOD 2006»
14 years 5 months ago
Efficient reverse k-nearest neighbor search in arbitrary metric spaces
The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, is a generalization of the...
Elke Achtert, Christian Böhm, Peer Kröge...