Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis

@article{Josse2012HandlingMV,
  title={Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis},
  author={Julie Josse and Marie Chavent and Benoit Liquet and François Husson},
  journal={J. Classification},
  year={2012},
  volume={29},
  pages={91-116}
}
A common approach to deal with missing values in multivariate exploratory data analysis consists in minimizing the loss function over all non-missing elements. This can be achieved by EM-type algorithms where an iterative imputation of the missing values is performed during the estimation of the axes and components. This paper proposes such an algorithm… CONTINUE READING

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