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=44 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=2.7600000000000002 MinPts=50 |
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=0.3333333333333333 K=12 |
Clustering |
clusterONE |
1.0
|
s=84 d=0.9666666666666667 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=6.1602602602602605 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.5171891891891892 |
Clustering |
MCODE |
0.778
|
v=0.2 cutoff=1.2420000000000002 haircut=T fluff=T |
Clustering |