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=7 dc=1.3943265184310307 |
Clustering |
HDBSCAN |
1.0
|
minPts=400 k=1 |
Clustering |
AGNES |
1.0
|
method=flexible 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=57 |
Clustering |
DBSCAN |
1.0
|
eps=5.112530567580446 MinPts=160 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=14 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.5642857142857143 K=142 |
Clustering |
clusterONE |
1.0
|
s=240 d=0.8 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=0.0 maxits=3500 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=3.8973973973973974 |
Clustering |
Transitivity Clustering |
1.0
|
T=10.495831249851202 |
Clustering |
MCODE |
0.909
|
v=0.9 cutoff=12.781326418951116 haircut=F fluff=F |
Clustering |