SMOTE (Synthetic Minority Over-Sampling Technique)

Version 1.0.0.0 (6.38 KB) by Manohar
The SMOTE function takes the feature vectors with dimension(r,n) and the target class with dimension

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Updated Mon, 29 Oct 2012 16:26:16 +0000

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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.

Cite As

Manohar (2023). SMOTE (Synthetic Minority Over-Sampling Technique) (https://www.mathworks.com/matlabcentral/fileexchange/38830-smote-synthetic-minority-over-sampling-technique), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0