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» High Performance Data Mining Using the Nearest Neighbor Join
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119
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ICPR
2002
IEEE
16 years 3 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
118
Voted
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
15 years 8 months 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
106
Voted
ALGORITHMICA
1999
87views more  ALGORITHMICA 1999»
15 years 2 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
157
Voted
SDM
2012
SIAM
224views Data Mining» more  SDM 2012»
13 years 5 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
119
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BMCBI
2007
134views more  BMCBI 2007»
15 years 2 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...