CLARA |
0.875
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.764
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.764
|
k=6 |
Clustering |
clusterdp |
0.908
|
k=6 dc=3.6781585066443236 |
Clustering |
HDBSCAN |
0.871
|
minPts=2 k=56 |
Clustering |
AGNES |
0.899
|
method=weighted metric=euclidean k=4 |
Clustering |
c-Means |
0.903
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.875
|
k=3 |
Clustering |
DIANA |
0.8
|
metric=euclidean k=6 |
Clustering |
DBSCAN |
0.904
|
eps=29.42526805315459 MinPts=332 |
Clustering |
Hierarchical Clustering |
0.875
|
method=single k=4 |
Clustering |
fanny |
0.875
|
k=3 membexp=1.1 |
Clustering |
k-Means |
0.875
|
k=5 nstart=10 |
Clustering |
DensityCut |
0.941
|
alpha=0.0 K=8 |
Clustering |
clusterONE |
0.578
|
s=67 d=0.7333333333333333 |
Clustering |
Affinity Propagation |
0.578
|
dampfact=0.7725 preference=0.0 maxits=2750 convits=275 |
Clustering |
Markov Clustering |
0.578
|
I=1.1890890890890893 |
Clustering |
Transitivity Clustering |
0.883
|
T=28.42380747877295 |
Clustering |
MCODE |
0.829
|
v=0.8 cutoff=29.11875484426756 haircut=T fluff=F |
Clustering |