Table 5:

Results from the MSN cluster scenario based on 500 simulations for each sample size (1000 for sparse k-means). The percentage of models selecting each number of clusters is based on only those data sets for which any variables were selected for clustering.

Approach	N	ARI (95% CI)	Number of Clusters (%)
			1	2	3	4	5	6
VSCC+MVN	200	0.599(0.585,0.612)	0.2	41.8	48.2	7.8	1.4	0.6
	500	0.589(0.578,0.600)	0.0	38.0	28.8	26.2	6.0	1.0
	800	0.515(0.504,0.525)	0.0	24.6	11.2	36.0	23.0	5.2
VSCC+MSN	200	0.556(0.543,0.568)	11.6	82.6	5.8	0.0	0.0	0.0
	500	0.569(0.559,0.579)	0.8	81.6	15.4	2.2	0.0	0.0
	800	0.558(0.546,0.569)	0.0	71.0	21.4	6.8	0.8	0.0
clustvarsel+MVN	200	0.473(0.460,0.486)	0.0	9.0	49.8	34.2	6.0	1.0
	500	0.372(0.362,0.382)	0.0	0.0	1.8	35.2	37.6	25.4
	800	0.359(0.351,0.366)	0.0	0.0	0.0	7.6	39.2	53.2
clustvarsel+MSN	200	0.512(0.497,0.527)	0.2	68.2	29.6	1.6	0.4	0.0
	500	0.498(0.484,0.512)	0.0	23.8	55.2	18.6	2.4	0.0
	800	0.458(0.445,0.471)	0.0	5.2	39.8	39.8	11.2	4.0
clustvarsel+CFUST	200	0.574(0.563,0.585)	9.4	86.0	4.0	0.60	0.0	0.0
skewvarsel+MVN	200	0.560(0.547,0.574)	0.0	21.93	51.51	25.35	1.01	0.20
	500	0.517(0.507,0.527)	0.0	0.6	11.4	72.2	14.6	1.2
	800	0.526(0.520,0.533)	0.0	0.0	3.4	78.4	15.4	2.8
skewvarsel+MSN	200	0.595(0.584,0.605)	0.20	87.12	12.27	0.40	0.0	0.0
	500	0.702(0.693,0.711)	0.0	49.6	49.6	0.8	0.0	0.0
	800	0.762(0.755,0.768)	0.0	16.0	79.0	4.8	0.2	0.0
skewvarsel+CFUST	200	0.615(0.607,0.623)	24.4	73.8	1.2	0.0	0.0	0.0
PGMM	200	0.608(0.598,0.617)	0.0	67.6	27.2	1.8	1.2	2.2
	500	0.650(0.639,0.660)	0.0	33.8	43.8	18.8	3.6	0.0
	800	0.584(0.569,0.598)	0.0	9.0	35.0	28.6	22.2	5.2
sparse k-means	200	0.392 (0.377, 0.408)	63.4	16.0	15.0	4.9	0.7	0.0
	500	0.425 (0.410, 0.440)	50.5	11.8	27.6	7.0	2.9	0.2
	800	0.420 (0.406, 0.434)	42.3	12.5	33.2	6.8	4.8	0.4