CLARA |
1.0
|
metric=euclidean k=233 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=43 y=225 |
Clustering |
Spectral Clustering |
1.0
|
k=34 |
Clustering |
clusterdp |
1.0
|
k=2 dc=0.44160000000000005 |
Clustering |
HDBSCAN |
1.0
|
minPts=48 k=250 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=177 |
Clustering |
c-Means |
1.0
|
k=9 m=2.25 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=84 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=89 |
Clustering |
DBSCAN |
1.0
|
eps=0.9936000000000001 MinPts=225 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=120 |
Clustering |
fanny |
1.0
|
k=96 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=96 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.035713996206011074 K=4 |
Clustering |
clusterONE |
0.0
|
s=250 d=0.1 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=3.3120000000000003 maxits=3500 convits=200 |
Clustering |
Markov Clustering |
0.5
|
I=9.973273273273273 |
Clustering |
Transitivity Clustering |
1.0
|
T=3.0467747747747747 |
Clustering |
MCODE |
0.999
|
v=0.9 cutoff=3.036 haircut=F fluff=F |
Clustering |