CLARA |
1.0
|
metric=euclidean k=535 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=600 y=560 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=86 k=200 |
Clustering |
AGNES |
1.0
|
method=average metric=euclidean k=417 |
Clustering |
c-Means |
1.0
|
k=104 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=514 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=562 |
Clustering |
DBSCAN |
1.0
|
eps=0.9295510122873538 MinPts=120 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=540 |
Clustering |
fanny |
1.0
|
k=180 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=588 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.3809514272780645 K=28 |
Clustering |
clusterONE |
0.0
|
s=300 d=0.7333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.9175 preference=13.943265184310308 maxits=5000 convits=425 |
Clustering |
Markov Clustering |
0.0
|
I=2.4986986986986985 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.859521849870005 |
Clustering |
MCODE |
0.999
|
v=0.8 cutoff=13.36229580163071 haircut=T fluff=T |
Clustering |