An analysis of how training data complexity affects the nearest neighbor classifiers-Reference-Cited by-同舟云学术

An analysis of how training data complexity affects the nearest neighbor classifiers

Published:2007-02-16 Issue:3 Volume:10 Page:189-201
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Sánchez J. S.,Mollineda R. A.,Sotoca J. M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-007-0061-2.pdf

Reference22 articles.

1. Bernadó E, Ho T-K (2004) On classifier domain of competence. In: Proceedings of 17th international conference on pattern recognition, Cambridge, pp 136–139

2. Beyer KS, Goldstein J, Ramakrishnan R, Shaft U (1999) When is “nearest neighbor” meaningful? In: Proceedings of 7th international conference on database theory, Jerusalem, pp 217–235

3. Cover TM (1968) Estimation by the nearest neighbor rule. IEEE Trans Inf Theory 14:50–55

4. Cover TM, Hart PE (1967) Nearest neighbor pattern classification. IEEE Trans Inf Theory 13:21–27

5. Dasarathy BV (1991) Nearest neighbor norms: NN pattern classification techniques. IEEE Computer Society Press, Los Alamos

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