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Epileptic EEG Detection Using a Multi-view Fuzzy Clustering Algorithm with Multi-medoid
2019
IEEE Access
Using clustering algorithms to automatically analyze EEGs of patients and to identify the characteristic waves of epilepsy is of high clinical value. Traditional clustering algorithms mostly use a calculated virtual single representative medoid point to describe the cluster structure, but this single representative medoid point has insufficient information. To accurately capture more accurate intracluster structural information, a representative multi-medoid points strategy is adopted, which
doi:10.1109/access.2019.2947689
fatcat:xni2nfru4nfbxkflssq6ntt7xa