CLARA |
1.0
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.496
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.499
|
k=2 |
Clustering |
clusterdp |
1.0
|
k=2 dc=3.2016 |
Clustering |
HDBSCAN |
1.0
|
minPts=24 k=1 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=1 |
Clustering |
c-Means |
0.496
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.496
|
k=2 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=175 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=1.1 |
Clustering |
k-Means |
0.496
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.04821428571428571 K=14 |
Clustering |
clusterONE |
1.0
|
s=167 d=0.3 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=6.944244244244246 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.07625225225225225 |
Clustering |
MCODE |
0.778
|
v=0.5 cutoff=1.2420000000000002 haircut=T fluff=F |
Clustering |