CLARA |
1.0
|
metric=euclidean k=96 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=250 y=208 |
Clustering |
Spectral Clustering |
0.996
|
k=25 |
Clustering |
clusterdp |
1.0
|
k=6 dc=0.5746360569213221 |
Clustering |
HDBSCAN |
1.0
|
minPts=18 k=18 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=18 |
Clustering |
c-Means |
1.0
|
k=37 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=57 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=107 |
Clustering |
DBSCAN |
1.0
|
eps=1.4104703215341545 MinPts=208 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=212 |
Clustering |
fanny |
1.0
|
k=121 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=117 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.05197704081632653 K=14 |
Clustering |
clusterONE |
0.0
|
s=50 d=0.7333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=0.3917973115372651 maxits=4250 convits=275 |
Clustering |
Markov Clustering |
0.0
|
I=1.6523523523523527 |
Clustering |
Transitivity Clustering |
1.0
|
T=1.300500385443014 |
Clustering |
MCODE |
1.0
|
v=0.4 cutoff=1.3059910384575504 haircut=F fluff=F |
Clustering |