CLARA |
1.0
|
metric=euclidean k=3 samples=20 |
Clustering |
Self Organizing Maps |
0.961
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.942
|
k=2 |
Clustering |
clusterdp |
0.99
|
k=2 dc=0.0 |
Clustering |
HDBSCAN |
1.0
|
minPts=87 k=1 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=1 |
Clustering |
c-Means |
0.99
|
k=13 m=5.0 |
Clustering |
k-Medoids (PAM) |
0.77
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=2.9373718264366224 MinPts=120 |
Clustering |
Hierarchical Clustering |
0.99
|
method=single k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=1.6933333333333331 |
Clustering |
k-Means |
0.951
|
k=3 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.016666666666666666 K=47 |
Clustering |
clusterONE |
1.0
|
s=186 d=0.36666666666666664 |
Clustering |
Markov Clustering |
1.0
|
I=5.581181181181181 |
Clustering |
Transitivity Clustering |
1.0
|
T=1.0291092485013191 |
Clustering |
MCODE |
1.0
|
v=0.0 cutoff=4.283667246886741 haircut=T fluff=F |
Clustering |