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GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection
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
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Package details |
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| Author | Kevin R. Coombes [aut, cre] |
| Bioconductor views | Clustering Microarray |
| Maintainer | Kevin R. Coombes <krc@silicovore.com> |
| License | Apache License (== 2.0) |
| Version | 2.2.1 |
| URL | http://oompa.r-forge.r-project.org/ |
| Package repository | View on CRAN |
| Installation |
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