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Updated: May 28, 2025

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用基于集群的减少噪声解决不平衡的数据分类 SMOTE SMOTE

Javad Hemmatian1, Rassoul Hajizadeh2, Fakhroddin Nazari3

  • 1Amol University of Special Modern Technologies, Amol, Iran.

PloS one
|February 10, 2025
PubMed
概括

一种新的方法,即基于集群的降低噪声SMOTE (CRN-SMOTE),有效地解决了机器学习中的不平衡数据. 通过减少噪音和过量采样少数类别,CRN-SMOTE显著提高了分类性能,超过了现有的技术.

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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