Table 4.
Average attraction rates
|
Average computation times
|
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---|---|---|---|---|---|---|---|
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 | |
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Overall | 57% | 34% | 89% | 0.89 | 80.89 | 0.31 |