Missing Value Imputation Based on Data Clustering

  title={Missing Value Imputation Based on Data Clustering},
  author={Shichao Zhang and Jilian Zhang and Xiaofeng Zhu and Yongsong Qin and Chengqi Zhang},
  journal={Trans. Computational Science},
We propose an efficient nonparametric missing value imputation method based on clustering, called CMI (Clustering-based Missing value Imputation), for dealing with missing values in target attributes. In our approach, we impute the missing values of an instance A with plausible values that are generated from the data in the instances which do not contain missing values and are most similar to the instance A using a kernel-based method. Specifically, we first divide the dataset (including the… CONTINUE READING

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