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ICPR
2006
IEEE
16 years 24 days ago
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
Cédric Archambeau, Michel Verleysen, Nicola...
GIS
2003
ACM
16 years 22 days ago
Nearest neighbor queries in road networks
With wireless communications and geo-positioning being widely available, it becomes possible to offer new e-services that provide mobile users with information about other mobile ...
Christian S. Jensen, Jan Kolárvr, Torben Ba...
SPIRE
2005
Springer
15 years 5 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
ICDE
2009
IEEE
169views Database» more  ICDE 2009»
16 years 1 months ago
Visible Reverse k-Nearest Neighbor Queries
Reverse nearest neighbor (RNN) queries have a broad application base such as decision support, profile-based marketing, resource allocation, data mining, etc. Previous work on RNN ...
Yunjun Gao, Baihua Zheng, Gencai Chen, Wang-Chien ...
IJCAI
1993
15 years 1 months ago
Average-Case Analysis of a Nearest Neighbor Algorithm
In this paper we present an average-case analysis of the nearest neighbor algorithm, a simple induction method that has been studied by manyresearchers. Our analysis assumes a con...
Pat Langley, Wayne Iba