Table 3 Clustering accuracy scores for all Y-STR datasets
From: An efficient clustering algorithm for partitioning Y-short tandem repeats data
| Â | N | Mean | Std. Dev. | 95% Confidence Interval for Mean | Min | Max | |
|---|---|---|---|---|---|---|---|
| Â | Â | Â | Â | Lower Bound | Upper Bound | Â | Â |
k-Mode | 600 | 0.76 | 0.13 | 0.75 | 0.77 | 0.45 | 1.00 |
k-Mode-RVF | 600 | 0.81 | 0.11 | 0.80 | 0.82 | 0.56 | 1.00 |
k-Mode-UAVM | 600 | 0.70 | 0.17 | 0.69 | 0.71 | 0.38 | 1.00 |
k-Mode-Hybrid 1 | 600 | 0.76 | 0.13 | 0.75 | 0.77 | 0.38 | 1.00 |
k-Mode-Hybrid 2 | 600 | 0.75 | 0.14 | 0.74 | 0.76 | 0.45 | 1.00 |
Fuzzy k-Mode | 600 | 0.74 | 0.16 | 0.73 | 0.75 | 0.32 | 1.00 |
k-Population | 600 | 0.91 | 0.09 | 0.91 | 0.92 | 0.59 | 1.00 |
New Fuzzy k-Mode | 600 | 0.80 | 0.13 | 0.79 | 0.81 | 0.44 | 1.00 |
k -AMH | 600 | 0.93 | 0.07 | 0.93 | 0.94 | 0.79 | 1.00 |