CLARA |
1.0
|
metric=euclidean k=3 samples=20 |
Clustering |
Self Organizing Maps |
0.436
|
x=18 y=84 |
Clustering |
Spectral Clustering |
0.441
|
k=14 |
Clustering |
clusterdp |
1.0
|
k=4 dc=0.20895856615320804 |
Clustering |
HDBSCAN |
1.0
|
minPts=6 k=4 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=4 |
Clustering |
c-Means |
1.0
|
k=4 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=4 |
Clustering |
DIANA |
0.729
|
metric=euclidean k=3 |
Clustering |
DBSCAN |
1.0
|
eps=1.3582306799958523 MinPts=200 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=3 |
Clustering |
fanny |
1.0
|
k=5 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.032366071428571425 K=12 |
Clustering |
clusterONE |
0.261
|
s=125 d=0.7333333333333333 |
Clustering |
Affinity Propagation |
0.398
|
dampfact=0.9175 preference=0.0 maxits=5000 convits=200 |
Clustering |
Markov Clustering |
0.261
|
I=2.418518518518519 |
Clustering |
Transitivity Clustering |
0.887
|
T=0.9930238166289842 |
Clustering |
MCODE |
0.665
|
v=0.2 cutoff=0.7182950711516526 haircut=F fluff=F |
Clustering |