CLARA |
1.0
|
metric=euclidean k=15 samples=20 |
Clustering |
Self Organizing Maps |
0.946
|
x=2 y=17 |
Clustering |
Spectral Clustering |
1.0
|
k=11 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.130540204145823 |
Clustering |
HDBSCAN |
1.0
|
minPts=25 k=1 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=1 |
Clustering |
c-Means |
0.947
|
k=7 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.944
|
k=3 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=25 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
0.987
|
k=12 membexp=5.0 |
Clustering |
k-Means |
0.947
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.9523809523809523 K=12 |
Clustering |
clusterONE |
1.0
|
s=1 d=0.03333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.9175 preference=0.0 maxits=3500 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=1.1356356356356356 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.007840252501250632 |
Clustering |
MCODE |
1.0
|
v=0.3 cutoff=1.3054020414582301 haircut=T fluff=F |
Clustering |