Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model

Three well-known evaluation criteria and the accuracy of classification task are used to assess the performance of the proposed method. The experimental results for seven UCI data sets with different missing ratios and strategies indicate that the proposed algorithm outperforms five other imputation methods in general.