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=7 dc=6.971632592155154 |
Clustering |
HDBSCAN |
1.0
|
minPts=12 k=6 |
Clustering |
AGNES |
1.0
|
method=average metric=euclidean k=3 |
Clustering |
c-Means |
1.0
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=8 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=10 |
Clustering |
DBSCAN |
1.0
|
eps=1.3943265184310307 MinPts=100 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=14 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.3309523809523809 K=48 |
Clustering |
clusterONE |
1.0
|
s=200 d=0.5666666666666667 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.9175 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=4.36956956956957 |
Clustering |
Transitivity Clustering |
1.0
|
T=7.732301213321231 |
Clustering |
MCODE |
0.909
|
v=0.7 cutoff=12.781326418951116 haircut=F fluff=F |
Clustering |