SOM-based algorithms for qualitative variables

  title={SOM-based algorithms for qualitative variables},
  author={Marie Cottrell and Sma{\"i}l Ibbou and Patrick Letr{\'e}my},
  journal={Neural networks : the official journal of the International Neural Network Society},
  volume={17 8-9},
It is well known that the SOM algorithm achieves a clustering of data which can be interpreted as an extension of Principal Component Analysis, because of its topology-preserving property. But the SOM algorithm can only process real-valued data. In previous papers, we have proposed several methods based on the SOM algorithm to analyze categorical data, which is the case in survey data. In this paper, we present these methods in a unified manner. The first one (Kohonen Multiple Correspondence… CONTINUE READING
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