Selection-fusion approach for classification of datasets with missing values

@article{GhannadRezaie2010SelectionfusionAF,
  title={Selection-fusion approach for classification of datasets with missing values},
  author={Mostafa Ghannad-Rezaie and Hamid Soltanian-Zadeh and Hao Ying and Ming Dong},
  journal={Pattern recognition},
  year={2010},
  volume={43 6},
  pages={2340-2350}
}
This paper proposes a new approach based on missing value pattern discovery for classifying incomplete data. This approach is particularly designed for classification of datasets with a small number of samples and a high percentage of missing values where available missing value treatment approaches do not usually work well. Based on the pattern of the missing values, the proposed approach finds subsets of samples for which most of the features are available and trains a classifier for each… CONTINUE READING

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