Packed hyper-ellipsoid classifiers

Tattersall, G. D. and Yi, K. (1994) Packed hyper-ellipsoid classifiers. IEE Electronics Letters, 30 (5). pp. 427-428. ISSN 0013-5194

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Abstract

Pattern classification is frequently performed using the k-nn algorithm or a neural network. The choice of parameters for the former is often difficult and the amount of data which has to be stored in the classifier can be high. Neural network classifiers can overcome some of these problems but learning is often unreliable and slow. An alternative which combines some of the best features of the k-nn and neural network classifier is described by the authors. The classifier is called a packed hyper-ellipsoid classifier

Item Type: Article
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: Vishal Gautam
Date Deposited: 08 Mar 2011 13:19
Last Modified: 24 Jul 2019 18:15
URI: https://ueaeprints.uea.ac.uk/id/eprint/22196
DOI: 10.1049/el:19940316

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