smotefamily: A Collection of Oversampling Techniques for Class Imbalance
Problem Based on SMOTE
A collection of various oversampling techniques developed from SMOTE is provided. SMOTE is a oversampling technique which synthesizes a new minority instance between a pair of one minority instance and one of its K nearest neighbor. (see <https://www.jair.org/media/953/live-953-2037-jair.pdf> for more information) Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.
| Version: |
1.3.1 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
FNN, dbscan, igraph |
| Published: |
2019-05-30 |
| Author: |
Wacharasak Siriseriwan [aut, cre] |
| Maintainer: |
Wacharasak Siriseriwan <wacharasak.s at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
smotefamily results |
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