CLARA |
0.758
|
metric=euclidean k=11 samples=20 |
Clustering |
Self Organizing Maps |
0.961
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.942
|
k=2 |
Clustering |
clusterdp |
0.716
|
k=19 dc=8.322553508237098 |
Clustering |
HDBSCAN |
0.512
|
minPts=73 k=113 |
Clustering |
AGNES |
0.844
|
method=single metric=euclidean k=4 |
Clustering |
c-Means |
0.956
|
k=2 m=2.25 |
Clustering |
k-Medoids (PAM) |
0.758
|
k=4 |
Clustering |
DIANA |
0.942
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
0.503
|
eps=14.686859132183113 MinPts=7 |
Clustering |
Hierarchical Clustering |
0.82
|
method=average k=12 |
Clustering |
fanny |
0.951
|
k=2 membexp=1.99 |
Clustering |
k-Means |
0.951
|
k=3 nstart=10 |
Clustering |
DensityCut |
0.651
|
alpha=0.006696428571428571 K=3 |
Clustering |
clusterONE |
0.861
|
s=20 d=0.9333333333333333 |
Clustering |
Markov Clustering |
0.497
|
I=4.645745745745746 |
Clustering |
Transitivity Clustering |
0.748
|
T=4.572185375484433 |
Clustering |
MCODE |
0.622
|
v=0.9 cutoff=4.895619710727704 haircut=T fluff=F |
Clustering |