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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