CLARA |
1.0
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.717
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.665
|
k=4 |
Clustering |
clusterdp |
1.0
|
k=24 dc=1.4758472143145445 |
Clustering |
HDBSCAN |
1.0
|
minPts=24 k=1 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=1 |
Clustering |
c-Means |
0.732
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.726
|
k=2 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=72 |
Clustering |
Hierarchical Clustering |
0.989
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=6 membexp=1.1 |
Clustering |
k-Means |
0.711
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.5714285714285714 K=12 |
Clustering |
clusterONE |
1.0
|
s=216 d=0.6 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=3.689618035786361 maxits=2000 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=5.643543543543543 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.014773245388533977 |
Clustering |
MCODE |
0.499
|
v=0.0 cutoff=13.52859946454999 haircut=T fluff=T |
Clustering |