SMOTE (Synthetic Minority Over-Sampling Technique)
The SMOTE (Synthetic Minority Over-Sampling Technique) function takes the feature vectors with dimension(r,n) and the target class with dimension(r,1) as the input.
And returns final_features vectors with dimension(r',n) and the target class with dimension(r',1) as the output.
Implementation based on :
N. Chawla, K. Bowyer, L. Hall, and W. Kegelmeyer. Smote: synthetic minority over-sampling technique. Arxiv preprint arXiv:1106.1813, 2011.
Cita come
Manohar (2025). SMOTE (Synthetic Minority Over-Sampling Technique) (https://it.mathworks.com/matlabcentral/fileexchange/38830-smote-synthetic-minority-over-sampling-technique), MATLAB Central File Exchange. Recuperato .
Compatibilità della release di MATLAB
Compatibilità della piattaforma
Windows macOS LinuxCategorie
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
Tag
Riconoscimenti
Ispirato: ADASYN (improves class balance, extension of SMOTE), SafeLevelSMOTE(original_features, original_mark)
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SMOTE/
| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.0.0.0 |
