CLARA |
0.232
|
metric=euclidean k=196 samples=20 |
Clustering |
Self Organizing Maps |
0.338
|
x=2 y=140 |
Clustering |
Spectral Clustering |
0.782
|
k=4 |
Clustering |
clusterdp |
0.17
|
k=20 dc=0.0 |
Clustering |
HDBSCAN |
0.231
|
minPts=171 k=200 |
Clustering |
AGNES |
0.509
|
method=complete metric=euclidean k=2 |
Clustering |
c-Means |
0.808
|
k=2 m=5.0 |
Clustering |
k-Medoids (PAM) |
0.232
|
k=198 |
Clustering |
DIANA |
0.738
|
metric=euclidean k=47 |
Clustering |
DBSCAN |
0.231
|
eps=1.8210053077346027 MinPts=54 |
Clustering |
Hierarchical Clustering |
0.509
|
method=single k=2 |
Clustering |
fanny |
0.606
|
k=21 membexp=8.516666666666667 |
Clustering |
k-Means |
0.782
|
k=2 nstart=10 |
Clustering |
DensityCut |
0.081
|
alpha=0.4583333333333333 K=3 |
Clustering |
clusterONE |
0.364
|
s=4 d=0.1 |
Clustering |
Markov Clustering |
0.0
|
I=1.117817817817818 |
Clustering |
Transitivity Clustering |
0.294
|
T=4.520613776958774 |
Clustering |
MCODE |
0.152
|
v=0.2 cutoff=4.552513269336507 haircut=F fluff=T |
Clustering |