CLARA |
1.0
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.987
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=13 |
Clustering |
clusterdp |
1.0
|
k=25 dc=10.689836641304568 |
Clustering |
HDBSCAN |
1.0
|
minPts=34 k=6 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=4 |
Clustering |
c-Means |
1.0
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=2 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=9 |
Clustering |
DBSCAN |
1.0
|
eps=2.7886530368620615 MinPts=360 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=16 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.49761904761904757 K=95 |
Clustering |
clusterONE |
1.0
|
s=160 d=0.8 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.9175 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=4.1913913913913925 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.0 |
Clustering |
MCODE |
0.909
|
v=0.5 cutoff=12.781326418951116 haircut=F fluff=F |
Clustering |