CLARA |
0.538
|
metric=euclidean k=50 samples=20 |
Clustering |
Self Organizing Maps |
0.599
|
x=2 y=140 |
Clustering |
Spectral Clustering |
0.932
|
k=4 |
Clustering |
clusterdp |
0.549
|
k=5 dc=0.0 |
Clustering |
HDBSCAN |
0.507
|
minPts=1 k=76 |
Clustering |
AGNES |
0.803
|
method=complete metric=euclidean k=2 |
Clustering |
c-Means |
0.942
|
k=30 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.549
|
k=3 |
Clustering |
DIANA |
0.905
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
0.503
|
eps=1.8210053077346027 MinPts=54 |
Clustering |
Hierarchical Clustering |
0.803
|
method=single k=2 |
Clustering |
fanny |
0.819
|
k=2 membexp=1.3966666666666667 |
Clustering |
k-Means |
0.932
|
k=2 nstart=10 |
Clustering |
DensityCut |
0.501
|
alpha=0.20833333333333331 K=3 |
Clustering |
clusterONE |
0.698
|
s=3 d=0.9333333333333333 |
Clustering |
Markov Clustering |
0.497
|
I=1.117817817817818 |
Clustering |
Transitivity Clustering |
0.604
|
T=4.520613776958774 |
Clustering |
MCODE |
0.551
|
v=0.8 cutoff=4.552513269336507 haircut=T fluff=T |
Clustering |