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Learning with nearest neighbour classifiers

Author
Bermejo, S.; Cabestany, J.
Type of activity
Journal article
Journal
Neural processing letters
Date of publication
2001-04
Volume
13
First page
159
Last page
181
Abstract
Nearest Neighbour (NN) classifiers are one of the most celebrated algorithms in machine learning. In recent years, interest in these methods has flourished again in several fields (including statistics, machine learning and pattern recognition) since, in spite of their simplicity, they reveal as powerful non-parametric classification systems in real-world problems. The present work is mainly devoted to the development of new learning algorithms for these classifiers and is focused on the followi...
Citation
Bermejo Sánchez, S. Learning with nearest neighbour classifiers. Tesi doctoral, UPC, Departament d'Enginyeria Electrònica, 2000. ISBN 846882190X.
Group of research
AHA - Advanced Hardware Architectures
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies

Participants

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