A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis

Table 6

Results of proposed method comparison and other methods for pMCI vs. NC.

Methods	ACC (%)	SEN (%)	SPE (%)	AUC (%)
LDA	83.64	78.56	87.33	81.54
SRC [5]	81.23	83.15	79.79	83.27
[5]	83.43	88.76	79.50	83.75
Proposed method	84.29	90.4	79.85	83.54