DocumentCode :
1039649
Title :
Packed hyper-ellipsoid classifiers
Author :
Tattersall, G.D. ; Yi, Kyongsu
Author_Institution :
Sch. of Inf. Syst., East Anglia Univ., Norwich
Volume :
30
Issue :
5
fYear :
1994
fDate :
3/3/1994 12:00:00 AM
Firstpage :
427
Lastpage :
428
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
Keywords :
neural nets; pattern recognition; learning; neural network; packed hyper-ellipsoid classifier; pattern classification;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19940316
Filename :
273252
Link To Document :
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