A Novel Transfer Enhanced -Expansion Move Learning Model for EEG Signals

Table 4

Parameters settings of involved algorithms.

Algorithms	Parameter setting
EEM: a typical exemplar-based clustering model	Self-similarity  = median value of similarities .
Multiclass SVM: a typical classification learning model	Kernel function , where . Penalty parameter .
TSK-FS: a widely used fuzzy-rule-based learning model	FCM [1] involved, the cluster number equals the number of fuzzy rules. Number of fuzzy rules . Gaussian membership function .
TSC : transfer spectral clustering model	Preset the cluster number ; for other parameter setting strategies, see [25].
TrEEM: the proposed transfer exemplar-based learning model	Self-similarity  = median value of similarities . Regularization factor . .
TSC : transfer spectral clustering model	Preset the cluster number ; for other parameter setting strategies, see [25].