Synthetic Minority Over-sampling Technique (SMOTE)

버전 1.0 (14.1 KB) 작성자: Bjarke Skogstad Larsen
Synthetic Minority Over-sampling Technique, DOI: https://doi.org/10.1613/jair.953

다운로드 수: 799

업데이트 날짜: 2020/5/7

GitHub에서 호스트

GitHub에서 라이선스 보기

SMOTE: Synthetic Minority Over-sampling Technique
This function is based on the paper referenced (DOI) below - with a few additional optional functionalities.
DOI: https://doi.org/10.1613/jair.953

This function synthesizes new observations based on existing (input) data, and a k-nearest neighbor approach. If multiple classes are given as input, only neighbors within the same class are considered.
This function can be used to over-sample minority classes in a dataset to create a more balanced dataset.

인용 양식

Bjarke Skogstad Larsen (2022). Synthetic Minority Over-sampling Technique (SMOTE) (https://github.com/dkbsl/matlab_smote/releases/tag/1.0), GitHub. 검색됨 .

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개발 환경: R2019b
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