CLARA |
0.712
|
metric=euclidean k=8 samples=20 |
Clustering |
Self Organizing Maps |
0.383
|
x=2 y=27 |
Clustering |
Spectral Clustering |
0.899
|
k=8 |
Clustering |
clusterdp |
1.0
|
k=8 dc=2.587697389143054 |
Clustering |
HDBSCAN |
0.81
|
minPts=8 k=95 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=4 |
Clustering |
c-Means |
0.762
|
k=8 m=3.5 |
Clustering |
k-Medoids (PAM) |
0.707
|
k=4 |
Clustering |
DIANA |
0.709
|
metric=euclidean k=52 |
Clustering |
DBSCAN |
0.755
|
eps=16.820033029429855 MinPts=683 |
Clustering |
Hierarchical Clustering |
0.973
|
method=single k=6 |
Clustering |
fanny |
0.716
|
k=4 membexp=1.1 |
Clustering |
k-Means |
0.716
|
k=6 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=1.52587890625E-5 K=10 |
Clustering |
clusterONE |
0.217
|
s=1 d=1.0 |
Clustering |
Affinity Propagation |
0.232
|
dampfact=0.99 preference=0.0 maxits=3500 convits=350 |
Clustering |
Markov Clustering |
0.217
|
I=5.34954954954955 |
Clustering |
Transitivity Clustering |
0.98
|
T=28.8299018430052 |
Clustering |
MCODE |
0.688
|
v=0.4 cutoff=30.728906496073773 haircut=F fluff=T |
Clustering |