CLARA |
1.0
|
metric=euclidean k=4 samples=20 |
Clustering |
Self Organizing Maps |
0.931
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=14 |
Clustering |
clusterdp |
1.0
|
k=3 dc=0.5223964153830202 |
Clustering |
HDBSCAN |
1.0
|
minPts=12 k=1 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=3 |
Clustering |
c-Means |
1.0
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.10447928307660402 MinPts=208 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=5 |
Clustering |
fanny |
1.0
|
k=6 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=3 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.078125 K=10 |
Clustering |
clusterONE |
1.0
|
s=158 d=0.16666666666666666 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=1.1753919346117954 maxits=5000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=6.115715715715716 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.8032040981264453 |
Clustering |
MCODE |
0.852
|
v=0.9 cutoff=0.5223964153830202 haircut=F fluff=F |
Clustering |