CLARA |
0.862
|
metric=euclidean k=5 samples=20 |
Clustering |
Self Organizing Maps |
0.676
|
x=106 y=446 |
Clustering |
Spectral Clustering |
0.95
|
k=9 |
Clustering |
clusterdp |
1.0
|
k=8 dc=2.587697389143054 |
Clustering |
HDBSCAN |
0.844
|
minPts=47 k=28 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=4 |
Clustering |
c-Means |
0.875
|
k=4 m=2.25 |
Clustering |
k-Medoids (PAM) |
0.888
|
k=7 |
Clustering |
DIANA |
0.807
|
metric=euclidean k=52 |
Clustering |
DBSCAN |
0.889
|
eps=32.34621736428818 MinPts=604 |
Clustering |
Hierarchical Clustering |
0.971
|
method=single k=6 |
Clustering |
fanny |
0.88
|
k=4 membexp=5.0 |
Clustering |
k-Means |
0.879
|
k=7 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=1.52587890625E-5 K=10 |
Clustering |
clusterONE |
0.0
|
s=525 d=0.8333333333333334 |
Clustering |
Affinity Propagation |
0.713
|
dampfact=0.99 preference=0.0 maxits=3500 convits=350 |
Clustering |
Markov Clustering |
0.0
|
I=5.563363363363364 |
Clustering |
Transitivity Clustering |
0.978
|
T=28.8299018430052 |
Clustering |
MCODE |
0.807
|
v=0.4 cutoff=30.728906496073773 haircut=F fluff=T |
Clustering |