CLARA |
1.0
|
metric=euclidean k=200 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=2 y=9 |
Clustering |
Spectral Clustering |
0.996
|
k=25 |
Clustering |
clusterdp |
1.0
|
k=9 dc=0.05223964153830201 |
Clustering |
HDBSCAN |
1.0
|
minPts=226 k=250 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=52 |
Clustering |
c-Means |
1.0
|
k=37 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=94 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=211 |
Clustering |
DBSCAN |
1.0
|
eps=1.0970324723043423 MinPts=191 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=128 |
Clustering |
fanny |
1.0
|
k=32 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=71 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.012202380952380952 K=3 |
Clustering |
clusterONE |
0.0
|
s=191 d=0.36666666666666664 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=1.1753919346117954 maxits=3500 convits=200 |
Clustering |
Markov Clustering |
0.0
|
I=2.088888888888889 |
Clustering |
Transitivity Clustering |
1.0
|
T=1.0400865567535806 |
Clustering |
MCODE |
1.0
|
v=0.2 cutoff=1.3059910384575504 haircut=T fluff=F |
Clustering |