CLARA |
0.769 |
metric=euclidean k=3 samples=20 |
Clustering |
Self Organizing Maps |
0.611 |
x=2 y=1 |
Clustering |
Spectral Clustering |
0.8 |
k=20 |
Clustering |
clusterdp |
0.868 |
k=17 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=0.16338045634920634 K=7 |
Clustering |
clusterONE |
0.381 |
s=27 d=0.8666666666666667 |
Clustering |
Affinity Propagation |
0.581 |
dampfact=0.99 preference=9.195396266610809 maxits=3500 convits=425 |
Clustering |
Markov Clustering |
0.381 |
I=3.1757757757757763 |
Clustering |
Transitivity Clustering |
0.848 |
T=30.08063563491904 |
Clustering |
MCODE |
0.825 |
v=0.8 cutoff=29.11875484426756 haircut=T fluff=T |
Clustering |