CLARA |
1.0
|
metric=euclidean k=90 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=250 y=250 |
Clustering |
Spectral Clustering |
0.996
|
k=25 |
Clustering |
clusterdp |
1.0
|
k=25 dc=1.3059910384575502 |
Clustering |
HDBSCAN |
1.0
|
minPts=36 k=226 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=237 |
Clustering |
c-Means |
1.0
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=231 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=221 |
Clustering |
DBSCAN |
1.0
|
eps=1.4104703215341545 MinPts=208 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=134 |
Clustering |
fanny |
1.0
|
k=28 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=171 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.21825396825396826 K=35 |
Clustering |
clusterONE |
0.0
|
s=191 d=1.0 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.9175 preference=1.5671892461490604 maxits=5000 convits=425 |
Clustering |
Markov Clustering |
0.0
|
I=2.6768768768768765 |
Clustering |
Transitivity Clustering |
1.0
|
T=1.1922560831564424 |
Clustering |
MCODE |
1.0
|
v=0.4 cutoff=1.3059910384575504 haircut=F fluff=F |
Clustering |