CLARA |
1.0
|
metric=euclidean k=9 samples=20 |
Clustering |
Self Organizing Maps |
0.99
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.932
|
k=4 |
Clustering |
clusterdp |
0.99
|
k=2 dc=0.0 |
Clustering |
HDBSCAN |
1.0
|
minPts=140 k=7 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=1 |
Clustering |
c-Means |
0.99
|
k=20 m=2.25 |
Clustering |
k-Medoids (PAM) |
0.547
|
k=3 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=20 |
Clustering |
Hierarchical Clustering |
0.99
|
method=average k=3 |
Clustering |
fanny |
1.0
|
k=8 membexp=1.1 |
Clustering |
k-Means |
0.932
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.09523809523809523 K=10 |
Clustering |
clusterONE |
1.0
|
s=1 d=0.06666666666666667 |
Clustering |
Markov Clustering |
1.0
|
I=1.117817817817818 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.01822828135870473 |
Clustering |
MCODE |
1.0
|
v=0.3 cutoff=7.587522115560845 haircut=T fluff=T |
Clustering |