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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Materias: | |
| 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 |