CLARA |
1.0
|
metric=euclidean k=445 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=600 y=60 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=1 k=241 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=563 |
Clustering |
c-Means |
1.0
|
k=243 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=432 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=555 |
Clustering |
DBSCAN |
1.0
|
eps=0.4647755061436769 MinPts=280 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=475 |
Clustering |
fanny |
1.0
|
k=183 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=534 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.40773809523809523 K=21 |
Clustering |
clusterONE |
0.0
|
s=380 d=0.1 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=13.943265184310308 maxits=4250 convits=350 |
Clustering |
Markov Clustering |
0.0
|
I=2.4363363363363364 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.859521849870005 |
Clustering |
MCODE |
0.999
|
v=0.8 cutoff=13.36229580163071 haircut=T fluff=T |
Clustering |