A K Nearest Classifier design

This paper presents a multi-classifier system design controlled by the topology of the learning data. Our work also introduces a training algorithm for an incremental self-organizing map (SOM). This SOM is used to distribute classification tasks to a set of classifiers. Thus, the useful classifiers...

Full description

Bibliographic Details
Main Authors: Y. Prudent, A. Ennaji
Format: Article
Language:English
Published: Computer Vision Center Press 2005-10-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
Online Access:https://elcvia.cvc.uab.es/article/view/96