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Authors: Kim-Anh Lê Cao, Patrick Chabrier
Title: [download]
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ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method
Reference: Vol. 28, Issue 9, Nov 2008
Submitted 2008-02-13, Accepted 2008-07-25
Type: Article
Abstract:

When dealing with high dimensional and low sample size data, feature selection is often needed to help reduce the dimension of the variable space while optimizing the classification task. Few tools exist for selecting variables in such data sets, especially when classes are numerous (>2). We have developed ofw, an R package that implements, in the context of classification, the meta algorithm "optimal feature weighting". We focus on microarray data, although the method can be applied to any p >> n problems with continuous variables. The aim is to select relevant variables and to numerically evaluate the resulting variable selection. Two versions are proposed with the application of supervised multiclass classifiers such as classification and regression trees and support vector machines. Furthermore, a weighted approach can be chosen to deal with unbalanced multiclasses, a common characteristic in microarray data sets.

Paper: [download]
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ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method
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Supplements: [download]
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ofw_1.0-0.tar.gz: R source package
(application/x-gzip, 144.9 KB)
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v28i09.R: R example code from the paper
(text/plain, 2.3 KB)
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v28i09-mpi.R: supplementary R code for ofwCART using Rmpi
(text/plain, 3.5 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.
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