A Proposal for Local k Values for k -Nearest Neighbor Rule

The k-nearest neighbor (k-NN) classifier is one of the most widely used methods of classification due to several interesting features, including good generalization and easy implementation. Although simple, it is usually able to match and even outperform more sophisticated and complex methods. One o...

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Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems 2017-02, Vol.28 (2), p.470-475
Main Authors: Garcia-Pedrajas, Nicolas, Romero del Castillo, Juan A., Cerruela-Garcia, Gonzalo
Format: Article
Language:English
Subjects:
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class-imbalanced data sets
Classification
Complexity
Complexity theory
Learning systems
Optimization
Proposals
Prototypes
Testing
Training
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