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SADM
2010
196views more  SADM 2010»
9 years 11 months ago
Bayesian adaptive nearest neighbor
: 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...
Ruixin Guo, Sounak Chakraborty
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
10 years 8 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
KDD
2003
ACM
152views Data Mining» more  KDD 2003»
11 years 4 months ago
An adaptive nearest neighbor search for a parts acquisition ePortal
Rafael Alonso, Jeffrey A. Bloom, Hua Li, Chumki Ba...
GIS
2005
ACM
11 years 5 months ago
Adaptive nearest neighbor queries in travel time networks
Nearest neighbor (NN) searches represent an important class of queries in geographic information systems (GIS). Most nearest neighbor algorithms rely on static distance informatio...
Wei-Shinn Ku, Roger Zimmermann, Haojun Wang, Chi-N...
ICPR
2002
IEEE
11 years 5 months ago
Adaptive Kernel Metric Nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to the curse-ofdimensionality. Sev...
Jing Peng, Douglas R. Heisterkamp, H. K. Dai
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