CLARA |
0.769
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.611
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.8
|
k=20 |
Clustering |
clusterdp |
0.868
|
k=16 dc=15.938686862125401 |
Clustering |
HDBSCAN |
0.878
|
minPts=2 k=56 |
Clustering |
AGNES |
0.878
|
method=complete metric=euclidean k=56 |
Clustering |
c-Means |
0.833
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.769
|
k=3 |
Clustering |
DIANA |
0.806
|
metric=euclidean k=6 |
Clustering |
DBSCAN |
0.886
|
eps=29.42526805315459 MinPts=332 |
Clustering |
Hierarchical Clustering |
0.874
|
method=single k=57 |
Clustering |
fanny |
0.811
|
k=16 membexp=5.0 |
Clustering |
k-Means |
0.769
|
k=5 nstart=10 |
Clustering |
DensityCut |
0.888
|
alpha=0.0 K=8 |
Clustering |
clusterONE |
0.381
|
s=14 d=0.0 |
Clustering |
Affinity Propagation |
0.581
|
dampfact=0.7 preference=9.195396266610809 maxits=2000 convits=350 |
Clustering |
Markov Clustering |
0.381
|
I=1.1890890890890893 |
Clustering |
Transitivity Clustering |
0.848
|
T=30.08063563491904 |
Clustering |
MCODE |
0.825
|
v=0.8 cutoff=29.11875484426756 haircut=T fluff=F |
Clustering |