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. Author manuscript; available in PMC: 2017 Nov 30.
Published in final edited form as: Biometrics. 2017 Jan 18;73(3):811–821. doi: 10.1111/biom.12647

Table 3.

Representative results for Simulation 5.3 (K = 5, 6, 7, 8) with N = K·50 samples. Number of replications identifying the correct number of significant clusters, mean number of significant clusters, median computing time and mean ARI over 100 replications. (K: cluster count, K^: predicted cluster count, p: dimension, δ: cluster separation, F: generating distribution.)

parameters
|K^=K|(meanK^)

median time (sec.)
mean ARI
K p δ F pvAU SHCL SHC2 BC pv SHCL SHC2 BC pvAU SHCL SHC2 BC
5 10 8 Gaus. 0 (8.13) 44 (4.28) 66 (4.65) 66 (4.65) 118.38 2.07 2.88 5.58 0.5 0.83 0.9 0.9
6 10 8 Gaus. 2 (6.73) 55 (5.26) 78 (5.72) 80 (5.78) 145.95 2.68 3.42 6.75 0.47 0.86 0.93 0.94
7 10 8 Gaus. 0 (7.02) 56 (6.23) 84 (6.79) 90 (6.9) 238.92 4.96 6.08 12.22 0.45 0.87 0.95 0.96
8 10 8 Gaus. 0 (5.06) 55 (6.99) 85 (7.79) 91 (7.91) 257.84 4.78 6.14 12.32 0.39 0.87 0.96 0.97
5 1000 15 Gaus. 3 (7.67) 53 (4.39) 69 (4.67) 623.62 111.32 125.83 0.22 0.86 0.9
6 1000 15 Gaus. 5 (8.1) 63 (5.58) 76 (5.76) 1014.4 136.28 146.92 0.33 0.91 0.93
7 1000 15 Gaus. 7 (8.57) 64 (6.54) 80 (6.7) 1294.04 184.71 198.92 0.37 0.92 0.94
8 1000 15 Gaus. 4 (8.98) 77 (7.66) 92 (7.88) 1620.74 262.55 279.85 0.41 0.95 0.97
5 10 8 t3 0 (42.22) 4 (2.73) 20 (3.43) 22 (7) 108.62 1.68 2.18 4.45 0.2 0.43 0.53 0.72
6 10 8 t3 0 (47.88) 9 (3.74) 26 (4.49) 20 (7.54) 178.72 2.91 3.87 9.36 0.2 0.54 0.61 0.77
7 10 8 t3 0 (63.18) 7 (4.3) 23 (5.33) 20 (8.4) 242.14 4.54 5.43 13.09 0.2 0.54 0.64 0.79
8 10 8 t3 0 (74.68) 2 (4.26) 13 (5.54) 23 (8.96) 289.16 6.24 7.38 17.53 0.17 0.46 0.58 0.8
5 1000 15 t3 20 (5.73) 13 (3.62) 10 (3.68) 687.27 115.76 124.45 0.02 0.4 0.4
6 1000 15 t3 15 (8.44) 4 (3.88) 8 (3.97) 921.06 150.42 161.42 0.01 0.39 0.4
7 1000 15 t3 7 (9.01) 10 (4.64) 12 (4.72) 1306.18 256.93 263.95 0 0.41 0.42
8 1000 15 t3 3 (10.07) 6 (5.53) 8 (5.7) 1387.78 340.85 360.39 0.01 0.44 0.45