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UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification

Ming Zheng, Tong Li, Xiaoyao Zheng, Qingying Yu, Chuanming Chen, Ding Zhou, Changlong Lv, Weiyi Yang

2021Information Sciences49 citationsDOI

Topics & Concepts

UndersamplingCluster analysisArtificial intelligencePattern recognition (psychology)Computer scienceData miningFeature selectionStatistical classificationClass (philosophy)Machine learningMathematicsImbalanced Data Classification TechniquesAnomaly Detection Techniques and ApplicationsFace and Expression Recognition
UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification | Litcius