CLARA |
1.0
|
metric=euclidean k=56 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=250 y=250 |
Clustering |
Spectral Clustering |
0.996
|
k=25 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.15671892461490605 |
Clustering |
HDBSCAN |
1.0
|
minPts=14 k=14 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=210 |
Clustering |
c-Means |
1.0
|
k=32 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=199 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=12 |
Clustering |
DBSCAN |
1.0
|
eps=1.4627099630724563 MinPts=216 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=100 |
Clustering |
fanny |
1.0
|
k=23 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=215 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.044568452380952375 K=8 |
Clustering |
clusterONE |
0.0
|
s=183 d=0.1 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=1.5671892461490604 maxits=2000 convits=275 |
Clustering |
Markov Clustering |
0.0
|
I=2.5521521521521526 |
Clustering |
Transitivity Clustering |
1.0
|
T=1.0102801546746696 |
Clustering |
MCODE |
1.0
|
v=0.2 cutoff=1.3059910384575504 haircut=T fluff=F |
Clustering |