CLARA |
1.0
|
metric=euclidean k=465 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=101 y=40 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=28 k=110 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=475 |
Clustering |
c-Means |
1.0
|
k=55 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=445 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=598 |
Clustering |
DBSCAN |
1.0
|
eps=0.4647755061436769 MinPts=280 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=526 |
Clustering |
fanny |
1.0
|
k=185 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=488 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.40773809523809523 K=11 |
Clustering |
clusterONE |
0.0
|
s=300 d=0.9333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=13.943265184310308 maxits=5000 convits=500 |
Clustering |
Markov Clustering |
0.0
|
I=8.94874874874875 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.929307961903591 |
Clustering |
MCODE |
0.999
|
v=0.8 cutoff=13.36229580163071 haircut=F fluff=F |
Clustering |