Family
|
---|
|
TransClust
|
HiFix
|
MCL
|
SCPS
|
Dataset
|
F-measure
|
Clusters
|
Precision
|
Recall
|
F-measure
|
Clusters
|
Precision
|
Recall
|
F-measure
|
Clusters
|
Precision
|
Recall
|
F-measure
|
Clusters
|
Precision
|
Recall
|
A-10
|
0.741
|
1608
|
0.924
|
0.732
|
0.652
|
2590
|
0.648
|
0.916
|
0.693
|
783
|
0.730
|
0.653
|
-
| |
A-20
|
0.749
|
1773
|
0.912
|
0.760
|
0.685
|
3022
|
0.672
|
0.840
|
0.703
|
922
|
0.736
|
0.703
|
-
| |
A-30
|
0.750
|
2098
|
0.868
|
0.814
|
0.695
|
3147
|
0.678
|
0.899
|
0.707
|
1257
|
0.731
|
0.706
|
-
| |
A-50
|
0.751
|
2951
|
0.860
|
0.804
|
0.702
|
4534
|
0.702
|
0.900
|
0.709
|
1653
|
0.724
|
0.702
|
-
| |
A-70
|
0.753
|
3153
|
0.858
|
0.818
|
0.713
|
4673
|
0.709
|
0.909
|
0.712
|
1817
|
0.727
|
0.706
|
-
| |
A-90
|
0.767
|
2714
|
0.833
|
0.870
|
0.717
|
4708
|
0.889
|
0.710
|
0.715
|
1945
|
0.743
|
0.708
|
-
| |
A-95
|
0.769
|
2800
|
0.766
|
0.840
|
0.725
|
4725
|
0.709
|
0.907
|
0.743
|
2078
|
0.768
|
0.709
|
-
| |
GOLD
|
0.959
|
94
|
0.950
|
0.978
|
0.921
|
98
|
0.906
|
0.918
|
0.925
|
81
|
0.961
|
0.922
|
-
| |
Super-family
|
A-10
|
0.722
|
1455
|
0.997
|
0.623
|
0.699
|
1182
|
0.963
|
0.636
|
0.752
|
714
|
0.908
|
0.726
|
0.750
|
186
|
0.742
|
0.763
|
A-20
|
0.783
|
1402
|
0.990
|
0.720
|
0.701
|
1319
|
0.964
|
0.644
|
0.754
|
848
|
0.916
|
0.738
|
0.759
|
253
|
0.934
|
0.654
|
A-30
|
0.809
|
1676
|
0.988
|
0.757
|
0.705
|
1500
|
0.942
|
0.686
|
0.778
|
1062
|
0.920
|
0.774
|
0.777
|
453
|
0.914
|
0.618
|
A-50
|
0.827
|
1995
|
0.987
|
0.778
|
0.710
|
2375
|
0.964
|
0.702
|
0.781
|
1642
|
0.968
|
0.723
|
0.789
|
665
|
0.958
|
0.693
|
A-70
|
0.833
|
2120
|
0.988
|
0.783
|
0.711
|
2476
|
0.960
|
0.707
|
0.788
|
1585
|
0.936
|
0.782
|
0.792
|
758
|
0.983
|
0.703
|
A-90
|
0.835
|
2213
|
0.988
|
0.779
|
0.715
|
2524
|
0.950
|
0.701
|
0.805
|
1799
|
0.965
|
0.755
|
0.805
|
931
|
0.993
|
0.700
|
A-95
|
0.837
|
2293
|
0.989
|
0.777
|
0.716
|
2582
|
0.960
|
0.708
|
0.807
|
1806
|
0.948
|
0.795
|
0.805
|
1023
|
0.995
|
0.703
|
GOLD
|
0.999
|
6
|
1
|
0.999
|
0.974
|
7
|
1
|
0.953
|
1.000
|
5
|
1
|
1
|
1.000
|
5
|
1
|
1
|
- Number of clusters found, and weighted mean precision and recall values for each clustering algorithm are shown. Best values are shown in bold.