CLARA |
1.0
|
metric=euclidean k=465 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=600 y=540 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=23 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=12 k=321 |
Clustering |
AGNES |
1.0
|
method=weighted metric=euclidean k=512 |
Clustering |
c-Means |
1.0
|
k=467 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=431 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=464 |
Clustering |
DBSCAN |
1.0
|
eps=0.4647755061436769 MinPts=280 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=484 |
Clustering |
fanny |
1.0
|
k=254 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=489 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.25595238095238093 K=15 |
Clustering |
clusterONE |
0.0
|
s=360 d=0.8333333333333334 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=13.943265184310308 maxits=5000 convits=500 |
Clustering |
Markov Clustering |
0.0
|
I=1.4652652652652653 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.859521849870005 |
Clustering |
MCODE |
0.999
|
v=0.8 cutoff=13.36229580163071 haircut=T fluff=T |
Clustering |