GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection
Version 2.1.2

Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.

Getting started

Package details

AuthorKevin R. Coombes
Bioconductor views Clustering Microarray
Date of publication2016-05-09 21:26:32
MaintainerKevin R. Coombes <>
LicenseApache License (== 2.0)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("GenAlgo", repos="")

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GenAlgo documentation built on May 31, 2017, 3:37 a.m.