CLARA |
1.0
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.496
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.854
|
k=3 |
Clustering |
clusterdp |
1.0
|
k=3 dc=27.276979304901047 |
Clustering |
HDBSCAN |
1.0
|
minPts=1 k=15 |
Clustering |
AGNES |
1.0
|
method=average metric=euclidean k=1 |
Clustering |
c-Means |
0.496
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.5
|
k=13 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=2 |
Clustering |
DBSCAN |
1.0
|
eps=2.020516985548226 MinPts=115 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=3 |
Clustering |
fanny |
1.0
|
k=8 membexp=5.0 |
Clustering |
k-Means |
0.496
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.19841269841269843 K=7 |
Clustering |
clusterONE |
1.0
|
s=166 d=0.5666666666666667 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=0.0 maxits=3500 convits=275 |
Clustering |
Markov Clustering |
1.0
|
I=4.503203203203204 |
Clustering |
Transitivity Clustering |
1.0
|
T=12.650984729333487 |
Clustering |
MCODE |
0.496
|
v=0.7 cutoff=17.679523623546974 haircut=T fluff=F |
Clustering |