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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Psychol Methods. 2016 Sep 8;22(3):563–580. doi: 10.1037/met0000095

Table 4.

Summary of results for Simulation I: The table reports the average attraction rates (percentage of restarts yielding the best-found solution) and average computation times for the LCM, K-means, and K-median methods for each category level of each design feature.

Average attraction rates
Average computation times
Design feature Level LCM K-means K-median LCM K-means K-median
Sample size N = 100 48% 35% 87% 0.28 39.13 0.08
N = 200 59% 34% 89% 0.70 71.05 0.22
N = 400 65% 32% 91% 1.69 132.49 0.64
Number of clusters K = 2 96% 62% 93% 0.08 33.17 0.18
K = 3 72% 40% 88% 0.44 52.93 0.25
K = 4 50% 28% 88% 0.83 77.60 0.31
K = 5 40% 21% 88% 1.27 105.64 0.38
K = 6 28% 16% 89% 1.81 135.11 0.45
Number of variables V = 6 47% 11% 85% 1.33 77.34 0.29
V = 9 57% 37% 91% 0.78 81.34 0.32
V = 12 67% 53% 90% 0.55 83.99 0.34
Cluster sizes Equal 67% 41% 89% 0.65 81.14 0.31
60% 42% 27% 88% 1.29 80.65 0.33
10% 62% 32% 90% 0.72 80.88 0.31
Error level 5% 51% 35% 79% 0.66 74.53 0.28
10% 58% 36% 93% 0.86 80.57 0.32
15% 61% 30% 95% 1.15 87.57 0.35

Overall 57% 34% 89% 0.89 80.89 0.31