A new fast prototype selection method based on clustering-Reference-Cited by-同舟云学术

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A new fast prototype selection method based on clustering

Published:2009-01-13 Issue:2 Volume:13 Page:131-141
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Olvera-López J. Arturo,Carrasco-Ochoa J. Ariel,Martínez-Trinidad J. Francisco

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-008-0142-x.pdf

Reference30 articles.

1. Kuncheva LI, Bezdek JC (1998) Nearest prototype classification, clustering, genetic algorithms, or random search? IEEE Trans Syst Man Cybern C28(1):160–164

2. Bezdek JC, Kuncheva LI (2001) Nearest prototype classifier designs: an experimental study. Int J Intell Syst 16(12):1445–1473

3. Wilson DR, Martínez TR (2000) Reduction techniques for instance-based learning algorithms. Mach Learn 38:257–286

4. Brighton H, Mellish C (2002) Advances in instance selection for instance-based learning algorithms. Data Min Knowl Disc 6(2):153–172

5. Cover T, Hart P (1967) Nearest neighbor pattern classification. IEEE Trans Inf Theory 13:21–27

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