CLARA |
1.0
|
metric=euclidean k=138 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=33 y=8 |
Clustering |
Spectral Clustering |
0.998
|
k=34 |
Clustering |
clusterdp |
1.0
|
k=13 dc=4.919490714381814 |
Clustering |
HDBSCAN |
1.0
|
minPts=3 k=55 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=13 |
Clustering |
c-Means |
1.0
|
k=170 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=215 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=123 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=40 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=213 |
Clustering |
fanny |
1.0
|
k=90 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=109 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.5089285714285714 K=11 |
Clustering |
clusterONE |
0.0
|
s=48 d=0.36666666666666664 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=14.758472143145443 maxits=5000 convits=500 |
Clustering |
Markov Clustering |
0.0
|
I=1.9908908908908909 |
Clustering |
Transitivity Clustering |
1.0
|
T=12.926589714967228 |
Clustering |
MCODE |
0.991
|
v=0.3 cutoff=13.52859946454999 haircut=T fluff=T |
Clustering |