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» K-Nearest Neighbor Finding Using MaxNearestDist
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PAMI
2008
152views more  PAMI 2008»
13 years 4 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet
ICIAP
2003
ACM
14 years 4 months ago
Depth-first k-nearest neighbor finding using the MaxNearestDist estimator
A description is given of how to use an estimate of the maximum possible distance at which a nearest neighbor can be found to prune the search process in a depth-first branch and ...
Hanan Samet
PVLDB
2008
232views more  PVLDB 2008»
13 years 3 months ago
FINCH: evaluating reverse k-Nearest-Neighbor queries on location data
A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...
Wei Wu, Fei Yang, Chee Yong Chan, Kian-Lee Tan
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
13 years 11 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
BTW
2007
Springer
183views Database» more  BTW 2007»
13 years 8 months ago
Efficient Reverse k-Nearest Neighbor Estimation
: 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, has received increasing a...
Elke Achtert, Christian Böhm, Peer Kröge...