CLARA |
1.0
|
metric=euclidean k=512 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=600 y=600 |
Clustering |
Spectral Clustering |
1.0
|
k=100 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.9295510122873538 |
Clustering |
HDBSCAN |
1.0
|
minPts=229 k=600 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=585 |
Clustering |
c-Means |
1.0
|
k=545 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=585 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=553 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=1 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=583 |
Clustering |
fanny |
1.0
|
k=277 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=498 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.1976190476190476 K=24 |
Clustering |
clusterONE |
0.0
|
s=460 d=0.1 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=13.943265184310308 maxits=3500 convits=350 |
Clustering |
Markov Clustering |
0.0
|
I=2.480880880880881 |
Clustering |
Transitivity Clustering |
1.0
|
T=13.943265184310308 |
Clustering |
MCODE |
0.999
|
v=0.8 cutoff=13.36229580163071 haircut=T fluff=T |
Clustering |