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