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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Inf Process Med Imaging. 2017 May 23;10265:543–555. doi: 10.1007/978-3-319-59050-9_43

Table 1.

Performance comparison on synthetic data. Training and testing correlation coefficients (mean±std) of 5-fold cross-validation are shown for NS-SCCA, AGN-SCCA and GGL-SCCA. The best value are shown in boldface. The AUC (area under the curve) values (mean±std) of canonical loadings are also shown.

Data set Training Correlation Coefficients Area under ROC (AUC): u

NS-SCCA AGN-SCCA GGL-SCCA NS-SCCA AGN-SCCA GGL-SCCA
data1 0.39±0.07 0.53±0.10 0.60±0.07 1.00±0.00 1.00±0.00 1.00±0.00
data2 0.31±0.08 0.35±0.08 0.48±0.08 0.20±0.45 0.60±0.55 0.60±0.55
data3 0.20±0.07 0.29±0.07 0.40±0.07 0.20±0.45 0.80±0.45 1.00±0.00
data4 0.44±0.08 0.44±0.07 0.50±0.05 1.00±0.00 1.00±0.00 0.93±0.15

Testing Correlation Coefficients Area under ROC (AUC): v

data1 0.42±0.10 0.60±0.10 0.62±0.23 1.00±0.00 0.96±0.09 1.00±0.00
data2 0.25±0.18 0.21±0.14 0.22±0.08 0.20±0.45 0.80±0.45 1.00±0.00
data3 0.28±0.19 0.33±0.24 0.43±0.21 0.20±0.45 1.00±0.00 1.00±0.00
data4 0.25±0.10 0.32±0.24 0.44±0.24 1.00±0.00 1.00±0.00 1.00±0.00