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Adaptive Undersampling Based on Density Peak Clustering

  • 【作者】Cui, Caixia,Cao, Fuyuan,Liang, Jiye
  • 【刊名】Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
  • 【作者单位】a School of Computer and Information Technology, Shanxi University, Taiyuan, 030006, China; b Computer Science and Technology Department, Taiyuan Normal University, Jinzhong, 030619, China; c Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, 030006, China
  • 【年份】2020
  • 【卷号】Vol.33 No.9
  • 【页码】811-819
  • 【ISSN】1003-6059
  • 【关键词】Classification Density Peak Clustering Imbalanced Data Overlapping region Undersampling 
  • 【摘要】 Undersampling based on K-means clustering is only suitable for hypersphere shape data, the impact of overlapping regions on classification is not taken into account, and the density of samples in the clusters is neglected. Therefore, an adaptive unde...
  • 【文献类型】 期刊
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