20 search results - page 2 / 4 » Locally Adaptive Metric Nearest-Neighbor Classification |
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
Publication
Nearest neighbor (NN) classification assumes locally constant class conditional probabilities, and suffers from bias in high dimensions with a small sample set. In this paper, we p...
SADM
2010
13 years 1 days ago
2010
: 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...
FLAIRS
2008
13 years 7 months ago
2008
The standard kNN algorithm suffers from two major drawbacks: sensitivity to the parameter value k, i.e., the number of neighbors, and the use of k as a global constant that is ind...
BMCBI
2006
2006
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
13 years 5 months ago
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...