CLARA |
1.0
|
metric=euclidean k=13 samples=20 |
Clustering |
Self Organizing Maps |
0.496
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.854
|
k=3 |
Clustering |
clusterdp |
1.0
|
k=3 dc=27.276979304901047 |
Clustering |
HDBSCAN |
1.0
|
minPts=1 k=15 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=1 |
Clustering |
c-Means |
0.496
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.5
|
k=13 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=2 |
Clustering |
DBSCAN |
1.0
|
eps=15.153877391611694 MinPts=239 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=2.0 |
Clustering |
k-Means |
0.496
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.38095238095238093 K=297 |
Clustering |
clusterONE |
1.0
|
s=156 d=0.9666666666666667 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=0.0 maxits=3500 convits=275 |
Clustering |
Markov Clustering |
1.0
|
I=5.1802802802802805 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.18202855725659692 |
Clustering |
MCODE |
0.496
|
v=0.7 cutoff=17.679523623546974 haircut=F fluff=F |
Clustering |