CLARA |
1.0
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.496
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.854
|
k=3 |
Clustering |
clusterdp |
1.0
|
k=2 dc=3.030775478322339 |
Clustering |
HDBSCAN |
1.0
|
minPts=149 k=1 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=2 |
Clustering |
c-Means |
0.496
|
k=2 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.5
|
k=13 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=2 |
Clustering |
DBSCAN |
1.0
|
eps=24.24620382657871 MinPts=83 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=3 |
Clustering |
fanny |
1.0
|
k=2 membexp=2.0 |
Clustering |
k-Means |
0.496
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.05952380952380952 K=85 |
Clustering |
clusterONE |
1.0
|
s=115 d=0.5 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=3.639039039039039 |
Clustering |
Transitivity Clustering |
1.0
|
T=7.341818476016076 |
Clustering |
MCODE |
0.496
|
v=0.7 cutoff=17.679523623546974 haircut=F fluff=F |
Clustering |