MINIMIZATION OF NEAREST-NEIGHBOR CLASSIFIERS BASED ON INDIVIDUAL EVOLUTIONARY ALGORITHM

Authors
ZHAO Q HIGUCHI T
Citation
Q. Zhao et T. Higuchi, MINIMIZATION OF NEAREST-NEIGHBOR CLASSIFIERS BASED ON INDIVIDUAL EVOLUTIONARY ALGORITHM, Pattern recognition letters, 17(2), 1996, pp. 125-131
Citations number
13
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
Journal title
Pattern recognition letters → ACNP
ISSN journal
01678655
Volume
17
Issue
2
Year of publication
1996
Pages
125 - 131
Database
ISI
SICI code
0167-8655(1996)17:2<125:MONCBO>2.0.ZU;2-3
Abstract
This paper proposes the individual evolutionary algorithm (IEA). Using IEA, the minimum or nearly minimum nearest neighbor classifiers can b e obtained iteratively by performing four operations: competition, gai n, loss and retraining. The efficiency of IEA is verified by experimen tal results.