Binary classification based on an ensemble of kernel machines ("Ballings, M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines. Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.
| Version: | 0.3.0 |
| Imports: | randomForest, AUC, genalg, kernlab, stats |
| Published: | 2015-09-29 |
| DOI: | 10.32614/CRAN.package.kernelFactory |
| Author: | Michel Ballings, Dirk Van den Poel |
| Maintainer: | Michel Ballings <Michel.Ballings at GMail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | kernelFactory citation info |
| Materials: | NEWS |
| CRAN checks: | kernelFactory results |
| Reference manual: | kernelFactory.pdf |
| Package source: | kernelFactory_0.3.0.tar.gz |
| Windows binaries: | r-devel: kernelFactory_0.3.0.zip, r-release: kernelFactory_0.3.0.zip, r-oldrel: kernelFactory_0.3.0.zip |
| macOS binaries: | r-release (arm64): kernelFactory_0.3.0.tgz, r-oldrel (arm64): kernelFactory_0.3.0.tgz, r-release (x86_64): kernelFactory_0.3.0.tgz, r-oldrel (x86_64): kernelFactory_0.3.0.tgz |
| Old sources: | kernelFactory archive |
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