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» Cluster Identification in Nearest-Neighbor Graphs
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ALT
2007
Springer
13 years 8 months ago
Cluster Identification in Nearest-Neighbor Graphs
Abstract. Assume we are given a sample of points from some underlying distribution which contains several distinct clusters. Our goal is to construct a neighborhood graph on the sa...
Markus Maier, Matthias Hein, Ulrike von Luxburg
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
SPIRE
2005
Springer
13 years 10 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
BMCBI
2010
120views more  BMCBI 2010»
13 years 5 months ago
Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology
Background: In many protein-protein interaction (PPI) networks, densely connected hub proteins are more likely to be essential proteins. This is referred to as the "centralit...
Kang Ning, Hoong Kee Ng, Sriganesh Srihari, Hon Wa...
ICC
2008
IEEE
176views Communications» more  ICC 2008»
13 years 11 months ago
A k-Nearest Neighbor Approach for User Authentication through Biometric Keystroke Dynamics
— Keystroke dynamics exhibit people’s behavioral features which are similar to hand signatures. A major problem hindering the large scale deployment of this technology is its h...
Jiankun Hu, Don Gingrich, Andy Sentosa