CLARA |
1.0
|
metric=euclidean k=60 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=241 y=125 |
Clustering |
Spectral Clustering |
1.0
|
k=18 |
Clustering |
clusterdp |
1.0
|
k=14 dc=0.261080408291646 |
Clustering |
HDBSCAN |
1.0
|
minPts=250 k=250 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=250 |
Clustering |
c-Means |
1.0
|
k=232 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=169 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=40 |
Clustering |
DBSCAN |
1.0
|
eps=1.9581030621873452 MinPts=225 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=61 |
Clustering |
fanny |
1.0
|
k=71 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=214 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.9359375 K=7 |
Clustering |
clusterONE |
0.0
|
s=233 d=0.8 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=1.9581030621873452 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
0.0
|
I=4.316116116116116 |
Clustering |
Transitivity Clustering |
1.0
|
T=2.8224909004502274 |
Clustering |
MCODE |
0.999
|
v=0.9 cutoff=3.589855614010133 haircut=F fluff=F |
Clustering |