Clustering Brain Signals: a Robust Approach Using Functional Data Ranking

@article{Chen2020ClusteringBS,
  title={Clustering Brain Signals: a Robust Approach Using Functional Data Ranking},
  author={Tianbo Chen and Ying Sun and Carolina Eu{\'a}n and Hernando C. Ombao},
  journal={arXiv: Methodology},
  year={2020}
}
In this paper, we analyze electroencephalograms (EEG) which are recordings of brain electrical activity. We develop new clustering methods for identifying synchronized brain regions, where the EEGs show similar oscillations or waveforms according to their spectral densities. We treat the estimated spectral densities from many epochs or trials as functional data and develop clustering algorithms based on functional data ranking. The two proposed clustering algorithms use different dissimilarity… Expand

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