CLARA |
1.0
|
metric=euclidean k=476 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=101 y=40 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=24 k=321 |
Clustering |
AGNES |
1.0
|
method=weighted metric=euclidean k=468 |
Clustering |
c-Means |
1.0
|
k=436 m=2.25 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=577 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=565 |
Clustering |
DBSCAN |
1.0
|
eps=0.4647755061436769 MinPts=280 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=475 |
Clustering |
fanny |
1.0
|
k=228 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=428 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.38616071428571425 K=30 |
Clustering |
clusterONE |
0.0
|
s=420 d=0.7666666666666667 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=13.943265184310308 maxits=5000 convits=500 |
Clustering |
Markov Clustering |
0.0
|
I=2.3561561561561564 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.859521849870005 |
Clustering |
MCODE |
0.999
|
v=0.9 cutoff=13.36229580163071 haircut=F fluff=F |
Clustering |