CLARA |
1.0
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.987
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=15 |
Clustering |
clusterdp |
1.0
|
k=5 dc=6.971632592155154 |
Clustering |
HDBSCAN |
1.0
|
minPts=172 k=1 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=14 |
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=7 |
Clustering |
DBSCAN |
1.0
|
eps=3.2534285430057386 MinPts=40 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=12 |
Clustering |
fanny |
1.0
|
k=2 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.29761904761904756 K=95 |
Clustering |
clusterONE |
1.0
|
s=260 d=0.9333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.9175 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=4.832832832832833 |
Clustering |
Transitivity Clustering |
1.0
|
T=10.495831249851202 |
Clustering |
MCODE |
0.909
|
v=0.5 cutoff=12.781326418951116 haircut=T fluff=F |
Clustering |