Packed hyper-ellipsoid classifiers

G. D. Tattersall, K. Yi

Research output: Contribution to journalArticle

6 Citations (Scopus)

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
Original languageEnglish
Pages (from-to)427-428
Number of pages2
JournalIEE Electronics Letters
Volume30
Issue number5
DOIs
Publication statusPublished - Mar 1994

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