Table 2.

Sample means (SD in parentheses) of Rand index (Rand) and adjusted Rand index (aRand) between the clustering assignment by each method and the true assignment, as well as the estimated number of clusters, based on 100 simulations. T denotes the number of cross-validation runs in the tuning part of irPCA; ‘Stand.’ denotes that the multiple types of data are standardized before an integrative analysis.

Case	n, p	Method	Rand	aRand	K̂
5	n = 150 p(1) = p(2) = 500	irPCA (K = 3, T = 1)	.976 (.047)	.949 (.101)	3 (0)
		irPCA (K = 3, T = 1, Stand.)	.905 (.126)	.797 (.272)	3 (0)
		irPCA (K = 3, T = 5)	.988 (.012)	.974 (.027)	3 (0)
		irPCA (K ∈ {2, ···, 5}, T = 1)	.966 (.057)	.925 (.130)	3.2 (.5)
		irPCA (K ∈ {2, ···, 5}, T = 5)	.969 (.046)	.932 (.103)	3.1 (.4)
		iCluster (K = 3)	.901 (.064)	.790 (.140)	3 (0)
1.1	ibid	irPCA (K = 3, T = 1, Stand.)	.866 (.136)	.698 (.306)	3 (0)
		irPCA (K ∈ {2, ···, 5}, T = 1)	.963 (.044)	.913 (.108)	3.4 (.6)
		irPCA (K ∈ {2, ···, 5}, T = 5)	.981 (.029)	.955 (.073)	3.1 (.4)