CLARA |
1.0
|
metric=euclidean k=430 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=600 y=540 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=12 k=161 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=453 |
Clustering |
c-Means |
1.0
|
k=304 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=534 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=466 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=1 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=553 |
Clustering |
fanny |
1.0
|
k=270 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=484 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.9047619047619048 K=29 |
Clustering |
clusterONE |
0.0
|
s=240 d=0.9666666666666667 |
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 |