Estimation of Missing Values Using a Weighted K-Nearest Neighbors Algorithm

@article{Ling2009EstimationOM,
  title={Estimation of Missing Values Using a Weighted K-Nearest Neighbors Algorithm},
  author={Wang Ling and Fu Dong-mei},
  journal={2009 International Conference on Environmental Science and Information Application Technology},
  year={2009},
  volume={3},
  pages={660-663}
}
This paper developed a novel method to estimate the values of missing data by the use of a weighted -nearest neighbors algorithm. A weighting scheme that exploits the correlation between a “missing” dimension and available data values from other fields, which is quantified based on the support vector regression method. The proposed method has been applied to a practical case of modeling steel corrosion. Comparing with the traditional imputation algorithm, the model results demonstrate its… CONTINUE READING
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