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» High Performance Data Mining Using the Nearest Neighbor Join
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ICPR
2002
IEEE
14 years 8 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
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
14 years 29 days ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
ALGORITHMICA
1999
87views more  ALGORITHMICA 1999»
13 years 7 months ago
The Performance of Neighbor-Joining Methods of Phylogenetic Reconstruction
We analyze the performance of the popular class of neighbor-joining methods of phylogeny reconstruction. In particular, we find conditions under which these methods will determine ...
Kevin Atteson
SDM
2012
SIAM
224views Data Mining» more  SDM 2012»
11 years 9 months ago
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees
Many high-profile applications pose high-dimensional nearest-neighbor search problems. Yet, it still remains difficult to achieve fast query times for state-of-the-art approache...
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
BMCBI
2007
134views more  BMCBI 2007»
13 years 7 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...