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=13 |
Clustering |
clusterdp |
1.0
|
k=5 dc=6.506857086011477 |
Clustering |
HDBSCAN |
1.0
|
minPts=34 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=2 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=12 |
Clustering |
DBSCAN |
1.0
|
eps=4.6477550614367695 MinPts=40 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=7 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.4309523809523809 K=60 |
Clustering |
clusterONE |
1.0
|
s=80 d=0.6333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=0.0 maxits=2750 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=10.0 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.013957222406717025 |
Clustering |
MCODE |
0.909
|
v=0.5 cutoff=12.781326418951116 haircut=F fluff=F |
Clustering |