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» Some Methods of Replacing the Nearest Neighbor Method
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FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
14 years 6 days 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...
ICPR
2002
IEEE
14 years 9 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
ICAPR
2009
Springer
14 years 3 months ago
Hierarchical Local Maps for Robust Approximate Nearest Neighbor Computation
In this paper, we propose a novel method for fast nearest neighbors retrieval in non-Euclidean and non-metric spaces. We organize the data into a hierarchical fashion that preserv...
Pratyush Bhatt, Anoop M. Namboodiri
ACIVS
2006
Springer
14 years 2 months ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
JCB
2008
75views more  JCB 2008»
13 years 8 months ago
New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design
We define new measures of sequence similarity for oligonucleotide probe design. These new measures incorporate the nearest neighbor k-stem motifs in their definition, but can be e...
Anthony J. Macula, Alexander Schliep, Morgan A. Bi...