CLARA |
0.441
|
metric=euclidean k=11 samples=20 |
Clustering |
Self Organizing Maps |
0.378
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.414
|
k=6 |
Clustering |
clusterdp |
0.382
|
k=4 dc=0.9838981428763629 |
Clustering |
HDBSCAN |
-0.009
|
minPts=240 k=232 |
Clustering |
AGNES |
0.438
|
method=ward metric=euclidean k=6 |
Clustering |
c-Means |
0.443
|
k=3 m=5.0 |
Clustering |
k-Medoids (PAM) |
0.439
|
k=4 |
Clustering |
DIANA |
0.434
|
metric=euclidean k=5 |
Clustering |
DBSCAN |
0.295
|
eps=12.298726785954536 MinPts=176 |
Clustering |
Hierarchical Clustering |
0.438
|
method=average k=4 |
Clustering |
fanny |
0.444
|
k=3 membexp=5.0 |
Clustering |
k-Means |
0.443
|
k=4 nstart=10 |
Clustering |
DensityCut |
0.334
|
alpha=1.0 K=12 |
Clustering |
clusterONE |
NaN
|
s=1 d=0.3333333333333333 |
Clustering |
Affinity Propagation |
0.35
|
dampfact=0.99 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
NaN
|
I=4.431931931931932 |
Clustering |
Transitivity Clustering |
0.426
|
T=10.326498526585251 |
Clustering |
MCODE |
-0.001
|
v=0.3 cutoff=13.52859946454999 haircut=T fluff=T |
Clustering |