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Table 1 CCCs (mean ± SD) comparison on synthetic data

From: Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method

  

Training CCCs

Testing CCCs

SMCCA

PDSMCCA

SMCCA

PDSMCCA

Data1

\({\mathbf {X}}_1-{\mathbf {X}}_2\)

0.97 ± 0.00

0.98 ± 0.00

0.96 ± 0.03

0.98 ± 0.01

\({\mathbf {X}}_1-{\mathbf {X}}_3\)

0.95 ± 0.01

0.98 ± 0.00

0.93 ± 0.01

0.97 ± 0.01

\({\mathbf {X}}_2-{\mathbf {X}}_3\)

0.97 ± 0.00

0.98 ± 0.00

0.96 ± 0.01

0.98 ± 0.01

Data2

\({\mathbf {X}}_1-{\mathbf {X}}_2\)

0.92 ± 0.03

0.98 ± 0.00

0.81 ± 0.09

0.97 ± 0.01

\({\mathbf {X}}_1-{\mathbf {X}}_3\)

0.91 ± 0.03

0.98 ± 0.00

0.82 ± 0.09

0.98 ± 0.00

\({\mathbf {X}}_2-{\mathbf {X}}_3\)

0.99 ± 0.03

0.99 ± 0.00

0.98 ± 0.00

0.99 ± 0.00

  1. The highest values are shown in bold