CLARA |
1.0
|
metric=euclidean k=6 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=26 y=150 |
Clustering |
Spectral Clustering |
1.0
|
k=17 |
Clustering |
clusterdp |
1.0
|
k=18 dc=3.2635051036455756 |
Clustering |
HDBSCAN |
1.0
|
minPts=8 k=83 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=61 |
Clustering |
c-Means |
1.0
|
k=64 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=112 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=154 |
Clustering |
DBSCAN |
1.0
|
eps=3.0024246953539295 MinPts=208 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=184 |
Clustering |
fanny |
1.0
|
k=114 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=233 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.921875 K=11 |
Clustering |
clusterONE |
0.0
|
s=200 d=1.0 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=0.9790515310936726 maxits=5000 convits=200 |
Clustering |
Markov Clustering |
0.0
|
I=3.3183183183183185 |
Clustering |
Transitivity Clustering |
1.0
|
T=3.649637539332169 |
Clustering |
MCODE |
0.999
|
v=0.8 cutoff=3.589855614010133 haircut=T fluff=T |
Clustering |