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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)