CLARA |
0.5 |
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.408 |
x=2 y=1 |
Clustering |
Spectral Clustering |
0.93 |
k=3 |
Clustering |
clusterdp |
1.0 |
k=3 dc=4.041033971096452 |
Clustering |
HDBSCAN |
0.947 |
minPts=5 k=34 |
Clustering |
AGNES |
1.0 |
method=ward metric=euclidean k=3 |
Clustering |
c-Means |
0.441 |
k=11 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.418 |
k=9 |
Clustering |
DIANA |
0.5 |
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0 |
eps=21.21542834825637 MinPts=260 |
Clustering |
Hierarchical Clustering |
1.0 |
method=complete k=3 |
Clustering |
fanny |
0.5 |
k=3 membexp=5.0 |
Clustering |
k-Means |
0.463 |
k=7 nstart=10 |
Clustering |
DensityCut |
1.0 |
alpha=0.03968253968253968 K=7 |
Clustering |
clusterONE |
0.5 |
s=52 d=0.7666666666666667 |
Clustering |
Affinity Propagation |
0.5 |
dampfact=0.9175 preference=0.0 maxits=3500 convits=500 |
Clustering |
Markov Clustering |
0.5 |
I=1.5365365365365364 |
Clustering |
Transitivity Clustering |
0.5 |
T=1.4865665509288748 |
Clustering |
MCODE |
0.484 |
v=0.3 cutoff=17.679523623546974 haircut=F fluff=T |
Clustering |