CLARA |
1.0
|
metric=euclidean k=7 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=250 y=250 |
Clustering |
Spectral Clustering |
0.996
|
k=25 |
Clustering |
clusterdp |
1.0
|
k=12 dc=0.15671892461490605 |
Clustering |
HDBSCAN |
1.0
|
minPts=238 k=131 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=5 |
Clustering |
c-Means |
1.0
|
k=2 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=230 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=16 |
Clustering |
DBSCAN |
1.0
|
eps=1.4104703215341545 MinPts=208 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=31 |
Clustering |
fanny |
1.0
|
k=95 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=195 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.0384672619047619 K=15 |
Clustering |
clusterONE |
0.0
|
s=59 d=1.0 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=0.7835946230745302 maxits=5000 convits=200 |
Clustering |
Markov Clustering |
0.0
|
I=2.596696696696697 |
Clustering |
Transitivity Clustering |
1.0
|
T=1.0087113966705163 |
Clustering |
MCODE |
1.0
|
v=0.4 cutoff=1.3059910384575504 haircut=F fluff=F |
Clustering |