Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Statistical Applications in Genetics and Molecular Biology

Editor-in-Chief: Sanguinetti, Guido

IMPACT FACTOR 2018: 0.536
5-year IMPACT FACTOR: 0.764

CiteScore 2018: 0.49

SCImago Journal Rank (SJR) 2018: 0.316
Source Normalized Impact per Paper (SNIP) 2018: 0.342

Mathematical Citation Quotient (MCQ) 2017: 0.04

See all formats and pricing
More options …
Volume 3, Issue 1


Volume 10 (2011)

Volume 9 (2010)

Volume 6 (2007)

Volume 5 (2006)

Volume 4 (2005)

Volume 2 (2003)

Volume 1 (2002)

Combining Nearest Neighbor Classifiers Versus Cross-Validation Selection

Minhui Paik / Yuhong Yang
Published Online: 2004-06-09 | DOI: https://doi.org/10.2202/1544-6115.1054

Various discriminant methods have been applied for classification of tumors based on gene expression profiles, among which the nearest neighbor (NN) method has been reported to perform relatively well. Usually cross-validation (CV) is used to select the neighbor size as well as the number of variables for the NN method. However, CV can perform poorly when there is considerable uncertainty in choosing the best candidate classifier. As an alternative to selecting a single “winner," we propose a weighting method to combine the multiple NN rules. Four gene expression data sets are used to compare its performance with CV methods. The results show that when the CV selection is unstable, the combined classifier performs much better.

Keywords: combining classifiers; nearest neighbor method; cross-validation

About the article

Published Online: 2004-06-09

Citation Information: Statistical Applications in Genetics and Molecular Biology, Volume 3, Issue 1, Pages 1–19, ISSN (Online) 1544-6115, DOI: https://doi.org/10.2202/1544-6115.1054.

Export Citation

©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston.Get Permission

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

Lynne V. Abruzzo, Lynn L. Barron, Keith Anderson, Rachel J. Newman, William G. Wierda, Susan O'Brien, Alessandra Ferrajoli, Madan Luthra, Sameer Talwalkar, Rajyalakshmi Luthra, Dan Jones, Michael J. Keating, and Kevin R. Coombes
The Journal of Molecular Diagnostics, 2007, Volume 9, Number 4, Page 546
Eric K Garcia, Sergey Feldman, Maya R Gupta, and Santosh Srivastava
IEEE Transactions on Knowledge and Data Engineering, 2010, Volume 22, Number 9, Page 1274
Gerhard Tutz and Dominik Koch
Statistics and Computing, 2016, Volume 26, Number 5, Page 1039
A.K. Ghosh, P. Chaudhuri, and C.A. Murthy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, Volume 27, Number 10, Page 1592

Comments (0)

Please log in or register to comment.
Log in