Potential Anchoring for imbalanced data classification
作者：
Highlights：
• Proposal of potential resemblance loss for measuring relative class distribution shape.
• Proposal of unified over and undersampling framework based on potential resemblance.
• Proposal of data difficulty index for evaluation of dataset complexity.
• Experimental evaluation of the proposed approach.
• Examination of factors influencing the relative performance of the proposed approach.
摘要
•Proposal of potential resemblance loss for measuring relative class distribution shape.•Proposal of unified over and undersampling framework based on potential resemblance.•Proposal of data difficulty index for evaluation of dataset complexity.•Experimental evaluation of the proposed approach.•Examination of factors influencing the relative performance of the proposed approach.
论文关键词：Machine learning,Classification,Imbalanced data,Oversampling,Undersampling,Radial basis functions
论文评审过程：Received 16 February 2021, Revised 31 May 2021, Accepted 14 June 2021, Available online 22 June 2021, Version of Record 2 July 2021.
论文官网地址：https://doi.org/10.1016/j.patcog.2021.108114
