CLARA |
1.0
|
metric=euclidean k=54 samples=20 |
Clustering |
Self Organizing Maps |
0.931
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=14 |
Clustering |
clusterdp |
1.0
|
k=24 dc=1.3059910384575502 |
Clustering |
HDBSCAN |
1.0
|
minPts=48 k=1 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=3 |
Clustering |
c-Means |
1.0
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.9403135476894363 MinPts=225 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.11904761904761904 K=25 |
Clustering |
clusterONE |
1.0
|
s=167 d=0.36666666666666664 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=0.3917973115372651 maxits=5000 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=4.654654654654655 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.1160880923073378 |
Clustering |
MCODE |
0.852
|
v=0.6 cutoff=0.5223964153830202 haircut=T fluff=T |
Clustering |