CLARA |
0.869 |
metric=euclidean k=5 samples=20 |
Clustering |
Self Organizing Maps |
0.544 |
x=2 y=27 |
Clustering |
Spectral Clustering |
0.943 |
k=9 |
Clustering |
clusterdp |
1.0 |
k=8 dc=2.587697389143054 |
Clustering |
HDBSCAN |
0.937 |
minPts=8 k=95 |
Clustering |
AGNES |
1.0 |
method=flexible metric=euclidean k=4 |
Clustering |
c-Means |
0.893 |
k=6 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.858 |
k=6 |
Clustering |
DIANA |
0.841 |
metric=euclidean k=6 |
Clustering |
DBSCAN |
0.864 |
eps=16.820033029429855 MinPts=683 |
Clustering |
Hierarchical Clustering |
0.967 |
method=single k=6 |
Clustering |
fanny |
0.892 |
k=4 membexp=5.0 |
Clustering |
k-Means |
0.893 |
k=6 nstart=10 |
Clustering |
DensityCut |
1.0 |
alpha=0.00234375 K=13 |
Clustering |
clusterONE |
0.345 |
s=27 d=0.8333333333333334 |
Clustering |
Affinity Propagation |
0.485 |
dampfact=0.9175 preference=0.0 maxits=3500 convits=275 |
Clustering |
Markov Clustering |
0.345 |
I=1.6612612612612614 |
Clustering |
Transitivity Clustering |
0.975 |
T=30.73376328546781 |
Clustering |
MCODE |
0.864 |
v=0.4 cutoff=30.728906496073773 haircut=F fluff=F |
Clustering |