CLARA |
1.0
|
metric=euclidean k=92 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=250 y=250 |
Clustering |
Spectral Clustering |
0.996
|
k=25 |
Clustering |
clusterdp |
1.0
|
k=18 dc=0.8358342646128322 |
Clustering |
HDBSCAN |
1.0
|
minPts=6 k=6 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=64 |
Clustering |
c-Means |
1.0
|
k=37 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=241 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=89 |
Clustering |
DBSCAN |
1.0
|
eps=0.20895856615320804 MinPts=34 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=111 |
Clustering |
fanny |
1.0
|
k=83 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=150 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.03999255952380952 K=10 |
Clustering |
clusterONE |
0.0
|
s=150 d=0.43333333333333335 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=1.5671892461490604 maxits=5000 convits=500 |
Clustering |
Markov Clustering |
0.0
|
I=2.9263263263263264 |
Clustering |
Transitivity Clustering |
1.0
|
T=1.0102801546746696 |
Clustering |
MCODE |
1.0
|
v=0.1 cutoff=1.1753919346117954 haircut=T fluff=T |
Clustering |