Skip Navigation

This Article
Right arrow Full Text (Print PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Zintzaras, E.
Right arrow Articles by Kowald, A.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Zintzaras, E.
Right arrow Articles by Kowald, A.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© Oxford University Press

Growing a classification tree using the apparent misclassification rate

E. Zintzaras , N.P. Brown and A. Kowald

Laboratory of Mathematical Biology, National Institute for Medical Research The Ridgeway, Mill Hill, London NW7 1AA, UK

A method to determine the size of a classification tree is proposed. This method is based on the change of the apparent misclassfication rate (AMR) of the tree at each growing stage. The method is simple and fast compared to the other classification tree methods, which are based on minimizing a cost complexity function. To test the method, it was used to classify species of fungi, and the results are in good agreement with those obtained by linear discriminant analysis. Also, 21 proteins with known structures and functions were classified using the proposed method. For this purpose the coefficient of variation for several properties of the secondary structures of these proteins has been used. Again, the results were in good agreement with the classification obtained previously using dynamic programming.

Received on June 18, 1993; accepted on December 13, 1993

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Eur Respir JHome page
Z. D. Daniil, E. Zintzaras, T. Kiropoulos, A. I. Papaioannou, A. Koutsokera, A. Kastanis, and K. I. Gourgoulianis
Discrimination of exudative pleural effusions based on multiple biological parameters
Eur. Respir. J., November 1, 2007; 30(5): 957 - 964.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.