Fast Enhanced Exemplar-Based Clustering for Incomplete EEG Signals

The diagnosis and treatment of epilepsy is a significant direction for both machine learning and brain science. This paper newly proposes a fast enhanced exemplar-based clustering (FEEC) method for incomplete EEG signal. The algorithm first compresses the potential exemplar list and reduces the pair...

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Detalles Bibliográficos
Autores principales: Bi, Anqi, Ying, Wenhao, Zhao, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231425/
https://www.ncbi.nlm.nih.gov/pubmed/32454881
http://dx.doi.org/10.1155/2020/4147807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231425/
https://www.ncbi.nlm.nih.gov/pubmed/32454881
http://dx.doi.org/10.1155/2020/4147807

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