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=5 dc=0.7835946230745302 |
Clustering |
HDBSCAN |
1.0
|
minPts=9 k=3 |
Clustering |
AGNES |
1.0
|
method=average metric=euclidean k=1 |
Clustering |
c-Means |
1.0
|
k=4 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=0.15671892461490605 MinPts=250 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=5 |
Clustering |
fanny |
1.0
|
k=6 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.6190476190476191 K=202 |
Clustering |
clusterONE |
1.0
|
s=84 d=0.26666666666666666 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=1.1753919346117954 maxits=5000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=4.904104104104105 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.756141358001849 |
Clustering |
MCODE |
0.852
|
v=0.2 cutoff=0.5223964153830202 haircut=T fluff=F |
Clustering |