CLARA |
0.497
|
metric=euclidean k=9 samples=20 |
Clustering |
Self Organizing Maps |
0.495
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.872
|
k=4 |
Clustering |
clusterdp |
0.495
|
k=2 dc=0.0 |
Clustering |
HDBSCAN |
0.497
|
minPts=140 k=7 |
Clustering |
AGNES |
0.671
|
method=complete metric=euclidean k=2 |
Clustering |
c-Means |
0.889
|
k=2 m=5.0 |
Clustering |
k-Medoids (PAM) |
0.376
|
k=3 |
Clustering |
DIANA |
0.825
|
metric=euclidean k=47 |
Clustering |
DBSCAN |
0.497
|
eps=0.0 MinPts=20 |
Clustering |
Hierarchical Clustering |
0.671
|
method=single k=2 |
Clustering |
fanny |
0.697
|
k=2 membexp=1.3966666666666667 |
Clustering |
k-Means |
0.872
|
k=2 nstart=10 |
Clustering |
DensityCut |
0.497
|
alpha=0.09523809523809523 K=10 |
Clustering |
clusterONE |
0.529
|
s=4 d=0.1 |
Clustering |
Markov Clustering |
0.497
|
I=1.117817817817818 |
Clustering |
Transitivity Clustering |
0.497
|
T=2.4972745461425485 |
Clustering |
MCODE |
0.497
|
v=0.3 cutoff=7.587522115560845 haircut=T fluff=T |
Clustering |