Multivariate Student-t self-organizing maps

@article{LpezRubio2009MultivariateSS,
  title={Multivariate Student-t self-organizing maps},
  author={Ezequiel L{\'o}pez-Rubio},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2009},
  volume={22 10},
  pages={
          1432-47
        }
}
The original Kohonen's Self-Organizing Map model has been extended by several authors to incorporate an underlying probability distribution. These proposals assume mixtures of Gaussian probability densities. Here we present a new self-organizing model which is based on a mixture of multivariate Student-t components. This improves the robustness of the map against outliers, while it includes the Gaussians as a limit case. It is based on the stochastic approximation framework. The 'degrees of… CONTINUE READING
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