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Table 5 Simulation study: average percentage of correctly identified non-zero loadings (standard deviation) when 50 variables are selected on each dimension (each loading vector).

From: Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets

Method Gaussian super-Gaussian
  v1 v2 v1 v2
sPCA 90.30% (3.5) 72.5% (11.6) 85.44% (4.3) 68.22% (10.6)
sIPCA 86.7% (8.3) 87.7% (8.1) 80.80% (8.6) 82.30% (8.4)