Corpus ID: 54056747

Robust Bayesian Cluster Enumeration

@article{Teklehaymanot2018RobustBC,
  title={Robust Bayesian Cluster Enumeration},
  author={Freweyni K. Teklehaymanot and Michael Muma and Abdelhak M. Zoubir},
  journal={ArXiv},
  year={2018},
  volume={abs/1811.12337}
}
  • Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir
  • Published 2018
  • Mathematics, Computer Science
  • ArXiv
  • A major challenge in cluster analysis is that the number of data clusters is mostly unknown and it must be estimated prior to clustering the observed data. In real-world applications, the observed data is often subject to heavy tailed noise and outliers which obscure the true underlying structure of the data. Consequently, estimating the number of clusters becomes challenging. To this end, we derive a robust cluster enumeration criterion by formulating the problem of estimating the number of… CONTINUE READING

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