CLARA |
0.845
|
metric=euclidean k=29 samples=20 |
Clustering |
Self Organizing Maps |
0.375
|
x=335 y=4666 |
Clustering |
Spectral Clustering |
0.85
|
k=42 |
Clustering |
clusterdp |
0.855
|
k=23 dc=36008.34461886732 |
Clustering |
HDBSCAN |
0.611
|
minPts=1 k=2093 |
Clustering |
AGNES |
0.822
|
method=ward metric=euclidean k=11 |
Clustering |
c-Means |
0.847
|
k=16 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.844
|
k=17 |
Clustering |
DIANA |
0.767
|
metric=euclidean k=16 |
Clustering |
DBSCAN |
0.63
|
eps=504116.8246641425 MinPts=3833 |
Clustering |
Hierarchical Clustering |
0.79
|
method=complete k=17 |
Clustering |
fanny |
0.84
|
k=17 membexp=2.0 |
Clustering |
k-Means |
0.844
|
k=47 nstart=10 |
Clustering |
DensityCut |
0.861
|
alpha=0.9877929687500002 K=121 |
Clustering |
clusterONE |
0.125
|
s=17 d=0.1 |
Clustering |
Affinity Propagation |
0.547
|
dampfact=0.7725 preference=0.0 maxits=2000 convits=350 |
Clustering |
Markov Clustering |
0.125
|
I=3.0154154154154154 |
Clustering |
Transitivity Clustering |
0.835
|
T=967791.8448614491 |
Clustering |
MCODE |
0.347
|
v=0.0 cutoff=990229.4770188513 haircut=T fluff=F |
Clustering |