CLARA |
0.667
|
metric=euclidean k=9 samples=20 |
Clustering |
Self Organizing Maps |
0.666
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.965
|
k=4 |
Clustering |
clusterdp |
0.666
|
k=2 dc=0.0 |
Clustering |
HDBSCAN |
0.667
|
minPts=140 k=7 |
Clustering |
AGNES |
0.89
|
method=flexible metric=euclidean k=1 |
Clustering |
c-Means |
0.97
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.66
|
k=3 |
Clustering |
DIANA |
0.95
|
metric=euclidean k=47 |
Clustering |
DBSCAN |
0.667
|
eps=0.0 MinPts=20 |
Clustering |
Hierarchical Clustering |
0.89
|
method=single k=2 |
Clustering |
fanny |
0.899
|
k=2 membexp=1.3966666666666667 |
Clustering |
k-Means |
0.965
|
k=2 nstart=10 |
Clustering |
DensityCut |
0.667
|
alpha=0.09523809523809523 K=10 |
Clustering |
clusterONE |
0.788
|
s=4 d=0.1 |
Clustering |
Markov Clustering |
0.667
|
I=1.117817817817818 |
Clustering |
Transitivity Clustering |
0.667
|
T=0.01822828135870473 |
Clustering |
MCODE |
0.667
|
v=0.3 cutoff=7.587522115560845 haircut=T fluff=T |
Clustering |