CLARA |
1.0
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.987
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=12 |
Clustering |
clusterdp |
1.0
|
k=8 dc=9.760285629017215 |
Clustering |
HDBSCAN |
1.0
|
minPts=428 k=29 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=6 |
Clustering |
c-Means |
1.0
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=2 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=22 |
Clustering |
DBSCAN |
1.0
|
eps=3.7182040491494153 MinPts=60 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.4309523809523809 K=107 |
Clustering |
clusterONE |
1.0
|
s=540 d=0.43333333333333335 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=0.0 maxits=2750 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=3.7281281281281284 |
Clustering |
Transitivity Clustering |
1.0
|
T=9.560697348601161 |
Clustering |
MCODE |
0.909
|
v=0.5 cutoff=12.781326418951116 haircut=T fluff=T |
Clustering |