CLARA |
1.0
|
metric=euclidean k=39 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=2 y=208 |
Clustering |
Spectral Clustering |
1.0
|
k=41 |
Clustering |
clusterdp |
1.0
|
k=20 dc=7.07180944941879 |
Clustering |
HDBSCAN |
1.0
|
minPts=37 k=135 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=137 |
Clustering |
c-Means |
1.0
|
k=296 m=2.25 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=288 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=112 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=11 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=103 |
Clustering |
fanny |
1.0
|
k=95 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=151 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.05617559523809523 K=8 |
Clustering |
clusterONE |
0.0
|
s=260 d=0.6 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=22.73081608741754 maxits=2750 convits=350 |
Clustering |
Markov Clustering |
0.0
|
I=6.222622622622622 |
Clustering |
Transitivity Clustering |
1.0
|
T=30.00437385446239 |
Clustering |
MCODE |
1.0
|
v=0.2 cutoff=26.519285435320466 haircut=F fluff=T |
Clustering |