CLARA |
1.0
|
metric=euclidean k=556 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=600 y=60 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=21 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=12 k=321 |
Clustering |
AGNES |
1.0
|
method=weighted metric=euclidean k=475 |
Clustering |
c-Means |
1.0
|
k=394 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=540 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=472 |
Clustering |
DBSCAN |
1.0
|
eps=0.4647755061436769 MinPts=280 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=545 |
Clustering |
fanny |
1.0
|
k=207 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=445 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.38095238002105836 K=28 |
Clustering |
clusterONE |
0.0
|
s=380 d=0.9 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=13.943265184310308 maxits=5000 convits=425 |
Clustering |
Markov Clustering |
0.0
|
I=8.663663663663664 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.929307961903591 |
Clustering |
MCODE |
0.999
|
v=0.9 cutoff=13.36229580163071 haircut=F fluff=F |
Clustering |