CLARA |
0.869
|
metric=euclidean k=6 samples=20 |
Clustering |
Self Organizing Maps |
0.544
|
x=2 y=27 |
Clustering |
Spectral Clustering |
0.943
|
k=9 |
Clustering |
clusterdp |
1.0
|
k=8 dc=2.587697389143054 |
Clustering |
HDBSCAN |
0.937
|
minPts=8 k=95 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=4 |
Clustering |
c-Means |
0.893
|
k=4 m=2.25 |
Clustering |
k-Medoids (PAM) |
0.858
|
k=6 |
Clustering |
DIANA |
0.841
|
metric=euclidean k=8 |
Clustering |
DBSCAN |
0.864
|
eps=16.820033029429855 MinPts=683 |
Clustering |
Hierarchical Clustering |
0.967
|
method=single k=6 |
Clustering |
fanny |
0.892
|
k=4 membexp=5.0 |
Clustering |
k-Means |
0.893
|
k=6 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=1.52587890625E-5 K=10 |
Clustering |
clusterONE |
0.345
|
s=1 d=1.0 |
Clustering |
Affinity Propagation |
0.485
|
dampfact=0.99 preference=0.0 maxits=3500 convits=350 |
Clustering |
Markov Clustering |
0.345
|
I=1.1 |
Clustering |
Transitivity Clustering |
0.975
|
T=30.694908970315506 |
Clustering |
MCODE |
0.864
|
v=0.4 cutoff=30.728906496073773 haircut=F fluff=T |
Clustering |