CLARA |
1.0
|
metric=euclidean k=533 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=101 y=40 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=22 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=18 k=118 |
Clustering |
AGNES |
1.0
|
method=average metric=euclidean k=563 |
Clustering |
c-Means |
1.0
|
k=195 m=2.25 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=591 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=505 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=1 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=536 |
Clustering |
fanny |
1.0
|
k=279 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=596 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.3720238095238095 K=21 |
Clustering |
clusterONE |
0.0
|
s=400 d=0.1 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=13.943265184310308 maxits=2750 convits=275 |
Clustering |
Markov Clustering |
0.0
|
I=1.616716716716717 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.859521849870005 |
Clustering |
MCODE |
0.999
|
v=0.8 cutoff=13.36229580163071 haircut=T fluff=T |
Clustering |