Sciweavers

Share
ICPR
2006
IEEE

Automatic Adjustment of Discriminant Adaptive Nearest Neighbor

11 years 7 months ago
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor
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 on a local Linear Discriminant Analysis. In this paper, we propose a technique to automatically adjust the hyper-parameters in DANN by the optimization of two quality criteria. The first one measures the quality of discrimination, while the second one maximizes the local class homogeneity. We use a Bayesian formulation to prevent overfitting.
Cédric Archambeau, Michel Verleysen, Nicola
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Cédric Archambeau, Michel Verleysen, Nicolas Delannay
Comments (0)
books