CLARA |
1.0
|
metric=euclidean k=8 samples=20 |
Clustering |
Self Organizing Maps |
0.987
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=12 |
Clustering |
clusterdp |
1.0
|
k=2 dc=7.4364080982988305 |
Clustering |
HDBSCAN |
1.0
|
minPts=58 k=1 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=4 |
Clustering |
c-Means |
1.0
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=8 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=3 |
Clustering |
DBSCAN |
1.0
|
eps=4.6477550614367695 MinPts=360 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=12 |
Clustering |
fanny |
1.0
|
k=5 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=8 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.1976190476190476 K=60 |
Clustering |
clusterONE |
1.0
|
s=200 d=0.4 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.9175 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=4.414114114114115 |
Clustering |
Transitivity Clustering |
1.0
|
T=10.537702917071353 |
Clustering |
MCODE |
0.909
|
v=0.9 cutoff=12.781326418951116 haircut=F fluff=F |
Clustering |