CLARA |
1.0
|
metric=euclidean k=28 samples=20 |
Clustering |
Self Organizing Maps |
0.535
|
x=2 y=2 |
Clustering |
Spectral Clustering |
0.998
|
k=11 |
Clustering |
clusterdp |
1.0
|
k=23 dc=0.0 |
Clustering |
HDBSCAN |
1.0
|
minPts=1 k=23 |
Clustering |
AGNES |
0.987
|
method=average metric=euclidean k=11 |
Clustering |
c-Means |
0.742
|
k=4 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=17 |
Clustering |
DIANA |
0.984
|
metric=euclidean k=20 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=35 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=3 |
Clustering |
fanny |
0.982
|
k=7 membexp=2.0 |
Clustering |
k-Means |
0.996
|
k=21 nstart=10 |
Clustering |
DensityCut |
0.873
|
alpha=0.4 K=2 |
Clustering |
clusterONE |
0.0
|
s=1 d=0.03333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=0.0 maxits=2000 convits=350 |
Clustering |
Markov Clustering |
0.0
|
I=1.126726726726727 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.2608059444268424 |
Clustering |
MCODE |
0.0
|
v=0.0 cutoff=0.0 haircut=T fluff=T |
Clustering |