Table 4 Evaluations on real data sets. The microbiome set was clustered with an identity score of 97%. The LTRs set was clustered with an identity score of 70%. The direction of the arrow next to each criterion indicates whether a high or a low value is better
Tool | Dunn (↑) | Davies-Bouldin (↓) | Silhouette (↑) | Intra (↑) | Inter (↓) | Cluster quality (↑) | Coverage (↑) | Time (↓) | Memory (GB) (↓) |
|---|---|---|---|---|---|---|---|---|---|
Microbiome | |||||||||
CD-HIT | 0.01 | 3.39 | 0.24 | 0.94 | 0.94 | 0.16 | 0.99 | 00:01:45 | 0.93 |
MeShClust v1.0 | 0.02 | 1.50 | 0.43 | 0.96 | 0.90 | 0.25 | 0.99 | 00:05:01 | 2.56 |
MeShClust v3.0 | 0.27 | 0.77 | 0.74 | 0.97 | 0.90 | 0.50 | 0.96 | 01:41:06 | 15.08 |
UCLUST | 0.01 | 5.50 | -0.14 | 0.94 | 0.96 | 0.12 | 0.98 | 00:00:31 | 0.42 |
LTRs | |||||||||
CD-HIT | 0.02 | 1.81 | 0.05 | 0.78 | 0.52 | 0.29 | 1.00 | 03:47:05 | 0.75 |
MeShClust v1.0 | 0.14 | 1.13 | 0.33 | 0.86 | 0.52 | 0.51 | 1.00 | 00:02:57 | 1.75 |
MeShClust v3.0 | 0.98 | 0.86 | 0.47 | 0.88 | 0.58 | 0.79 | 0.94 | 02:01:22 | 16.24 |
UCLUST | 0.02 | 2.02 | 0.11 | 0.75 | 0.55 | 0.27 | 1.00 | 00:09:01 | 0.50 |