MPEC reports a new combination of manifold clustering and ensemble classification for EEG, claiming 78.12% accuracy on BCI Competition IV 2a, but its superiority is not established due to evaluation protocol differences and an unspecified curvature term.
A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design,
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MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers
MPEC reports a new combination of manifold clustering and ensemble classification for EEG, claiming 78.12% accuracy on BCI Competition IV 2a, but its superiority is not established due to evaluation protocol differences and an unspecified curvature term.