Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method | Lê Cao | Journal of Statistical Software
Authors: Kim-Anh Lê Cao, Patrick Chabrier
Title: ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method
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.

Page views:: 4783. Submitted: 2008-02-13. Published: 2008-11-17.
Paper: ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method     Download PDF (Downloads: 4840)
Supplements:
ofw_1.0-0.tar.gz: R source package Download (Downloads: 975; 144KB)
v28i09.R: R example code from the paper Download (Downloads: 1060; 2KB)
v28i09-mpi.R: supplementary R code for ofwCART using Rmpi Download (Downloads: 1435; 3KB)

DOI: 10.18637/jss.v028.i09

by
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.