Clustering and classification of fuzzy data using the fuzzy EM algorithm

@article{Quost2016ClusteringAC,
  title={Clustering and classification of fuzzy data using the fuzzy EM algorithm},
  author={Benjamin Quost and Thierry Denoeux},
  journal={Fuzzy Sets and Systems},
  year={2016},
  volume={286},
  pages={134-156}
}
In this article, we address the problem of clustering imprecise data using a finite mixture of Gaussians. We propose to estimate the parameters of the model using the fuzzy EM algorithm. This extension of the EM algorithm allows us to handle imprecise data represented by fuzzy numbers. First, we briefly recall the principle of the fuzzy EM algorithm. Then, we provide closed-forms for the parameter estimates in the case of Gaussian fuzzy data. We also describe a Monte-Carlo procedure for… CONTINUE READING

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