Unsupervised data classification using pairwise Markov chains with automatic copulas selection

@article{Derrode2013UnsupervisedDC,
  title={Unsupervised data classification using pairwise Markov chains with automatic copulas selection},
  author={St{\'e}phane Derrode and Wojciech Pieczynski},
  journal={Computational Statistics & Data Analysis},
  year={2013},
  volume={63},
  pages={81-98}
}
The Pairwise Markov Chain (PMC) model assumes the couple of observations and states processes to be a Markov chain. To extend the modeling capability of class-conditional densities involved in the PMC model, copulas are introduced and the influence of their shape on classification error rates is studied. In particular, systematic experiments show that the use of wrong copulas can degrade significantly classification performances. Then an algorithm is presented to identify automatically the… CONTINUE READING
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