CLARA |
0.839
|
metric=euclidean k=8 samples=20 |
Clustering |
Self Organizing Maps |
0.853
|
x=2 y=17 |
Clustering |
Spectral Clustering |
1.0
|
k=18 |
Clustering |
clusterdp |
1.0
|
k=4 dc=0.6527010207291151 |
Clustering |
HDBSCAN |
0.874
|
minPts=6 k=41 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=3 |
Clustering |
c-Means |
0.956
|
k=3 m=3.5 |
Clustering |
k-Medoids (PAM) |
0.948
|
k=2 |
Clustering |
DIANA |
0.844
|
metric=euclidean k=2 |
Clustering |
DBSCAN |
1.0
|
eps=3.0024246953539295 MinPts=208 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
0.956
|
k=3 membexp=1.1 |
Clustering |
k-Means |
0.856
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.9625 K=6 |
Clustering |
clusterONE |
0.726
|
s=117 d=1.0 |
Clustering |
Affinity Propagation |
0.726
|
dampfact=0.99 preference=1.9581030621873452 maxits=5000 convits=500 |
Clustering |
Markov Clustering |
0.726
|
I=2.5432432432432432 |
Clustering |
Transitivity Clustering |
0.867
|
T=1.838539211543273 |
Clustering |
MCODE |
0.992
|
v=0.2 cutoff=1.6317525518227878 haircut=T fluff=T |
Clustering |