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» Some Methods of Replacing the Nearest Neighbor Method
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BIOINFORMATICS
2000
74views more  BIOINFORMATICS 2000»
13 years 8 months ago
Net Nearest Neighbor Analysis (NNNA) summarizes non-compensated dinucleotides within gene sequences
Motivation: Net Nearest Neighbor Analysis (NNNA) measures a previously unexamined aspect of dinucleotide frequency--the non-compensated, non-repetitive dinucleotides in a sequence...
Dorothy M. Lang
EDBT
2006
ACM
154views Database» more  EDBT 2006»
14 years 21 days ago
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...
Christoph Brochhaus, Marc Wichterich, Thomas Seidl
DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 10 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
IJPRAI
2006
100views more  IJPRAI 2006»
13 years 9 months ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
SADM
2010
196views more  SADM 2010»
13 years 3 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