4560 search results - page 39 / 912 » Finding Data in the Neighborhood |
EOR
2008
13 years 7 months ago
2008
For the p-median problem we study complexity of finding a local minimum in the worst and the average cases. We introduce several neighborhoods and show that the corresponding loca...
SADM
2010
13 years 2 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
AI
2005
Springer
14 years 1 months ago
2005
Springer
The instance-based k-nearest neighbor algorithm (KNN)[1] is an effective classification model. Its classification is simply based on a vote within the neighborhood, consisting o...