CLARA |
1.0
|
metric=euclidean k=3 samples=20 |
Clustering |
Self Organizing Maps |
0.931
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=14 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.20895856615320804 |
Clustering |
HDBSCAN |
1.0
|
minPts=10 k=4 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=2 |
Clustering |
c-Means |
1.0
|
k=4 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.10447928307660402 MinPts=42 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=7 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.7142857142857143 K=250 |
Clustering |
clusterONE |
1.0
|
s=216 d=0.6 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=0.7835946230745302 maxits=2750 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=4.235935935935936 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.7781039700599939 |
Clustering |
MCODE |
0.852
|
v=0.4 cutoff=0.5223964153830202 haircut=F fluff=F |
Clustering |