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A cluster-based oversampling algorithm combining SMOTE and k-means for imbalanced medical data.

Zhaozhao XuDerong ShenTiezheng NieYue KouNan YinXi Han
Published in: Inf. Sci. (2021)
Keyphrases
  • k means
  • medical data
  • expectation maximization
  • learning algorithm
  • hierarchical clustering
  • class imbalance
  • multi class
  • data mining techniques
  • imbalanced data
  • imbalanced data sets