CLARA |
1.0
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.931
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=14 |
Clustering |
clusterdp |
1.0
|
k=4 dc=0.4179171323064161 |
Clustering |
HDBSCAN |
1.0
|
minPts=49 k=1 |
Clustering |
AGNES |
1.0
|
method=weighted metric=euclidean k=4 |
Clustering |
c-Means |
1.0
|
k=3 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=1.0447928307660403 MinPts=50 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.15873015873015872 K=15 |
Clustering |
clusterONE |
1.0
|
s=125 d=0.5666666666666667 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=0.7835946230745302 maxits=4250 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=5.207007007007008 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.9098796424088639 |
Clustering |
MCODE |
0.852
|
v=0.7 cutoff=0.5223964153830202 haircut=T fluff=F |
Clustering |