CLARA |
1.0
|
metric=euclidean k=72 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=260 y=260 |
Clustering |
Spectral Clustering |
1.0
|
k=30 |
Clustering |
clusterdp |
1.0
|
k=15 dc=17.174394377159917 |
Clustering |
HDBSCAN |
1.0
|
minPts=4 k=78 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=258 |
Clustering |
c-Means |
1.0
|
k=211 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=206 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=166 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=11 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=304 |
Clustering |
fanny |
1.0
|
k=31 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=143 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.01984126984126984 K=7 |
Clustering |
clusterONE |
0.0
|
s=115 d=0.43333333333333335 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=30.307754783223388 maxits=2750 convits=200 |
Clustering |
Markov Clustering |
0.0
|
I=3.9241241241241243 |
Clustering |
Transitivity Clustering |
1.0
|
T=28.42679302490522 |
Clustering |
MCODE |
1.0
|
v=0.2 cutoff=26.519285435320466 haircut=F fluff=T |
Clustering |