CLARA |
0.858
|
metric=euclidean k=11 samples=20 |
Clustering |
Self Organizing Maps |
0.98
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.97
|
k=2 |
Clustering |
clusterdp |
0.831
|
k=2 dc=0.0 |
Clustering |
HDBSCAN |
0.833
|
minPts=200 k=1 |
Clustering |
AGNES |
0.914
|
method=single metric=euclidean k=4 |
Clustering |
c-Means |
0.975
|
k=3 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.858
|
k=4 |
Clustering |
DIANA |
0.97
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
0.833
|
eps=0.9791239421455409 MinPts=73 |
Clustering |
Hierarchical Clustering |
0.88
|
method=average k=12 |
Clustering |
fanny |
0.975
|
k=2 membexp=1.99 |
Clustering |
k-Means |
0.975
|
k=3 nstart=10 |
Clustering |
DensityCut |
0.833
|
alpha=0.38095238095238093 K=10 |
Clustering |
clusterONE |
0.924
|
s=2 d=0.06666666666666667 |
Clustering |
Markov Clustering |
0.833
|
I=6.6591591591591595 |
Clustering |
Transitivity Clustering |
0.833
|
T=0.2352249710860158 |
Clustering |
MCODE |
0.833
|
v=0.0 cutoff=4.283667246886741 haircut=T fluff=F |
Clustering |