CLARA |
1.0
|
metric=euclidean k=633 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=552 y=210 |
Clustering |
Spectral Clustering |
1.0
|
k=118 |
Clustering |
clusterdp |
1.0
|
k=24 dc=2.587697389143054 |
Clustering |
HDBSCAN |
1.0
|
minPts=1 k=368 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=432 |
Clustering |
c-Means |
1.0
|
k=533 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=726 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=582 |
Clustering |
DBSCAN |
1.0
|
eps=5.175394778286108 MinPts=604 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=570 |
Clustering |
fanny |
1.0
|
k=198 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=292 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=1.52587890625E-5 K=10 |
Clustering |
clusterONE |
0.0
|
s=53 d=0.7 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=38.815460837145814 maxits=5000 convits=425 |
Clustering |
Markov Clustering |
0.0
|
I=7.006606606606607 |
Clustering |
Transitivity Clustering |
1.0
|
T=35.279718158286684 |
Clustering |
MCODE |
1.0
|
v=0.9 cutoff=35.58083910071699 haircut=T fluff=T |
Clustering |