CLARA |
1.0
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=2 y=2 |
Clustering |
Spectral Clustering |
1.0
|
k=5 |
Clustering |
clusterdp |
1.0
|
k=5 dc=0.1423743926133418 |
Clustering |
HDBSCAN |
1.0
|
minPts=12 k=2 |
Clustering |
AGNES |
1.0
|
method=average metric=euclidean k=1 |
Clustering |
c-Means |
0.89
|
k=4 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.866
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=10 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=10 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=6 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.06666666666666667 K=2 |
Clustering |
clusterONE |
1.0
|
s=1 d=0.03333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=0.0 maxits=2000 convits=350 |
Clustering |
Markov Clustering |
1.0
|
I=1.126726726726727 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.04458743312215339 |
Clustering |
MCODE |
1.0
|
v=0.0 cutoff=0.0 haircut=T fluff=T |
Clustering |