CLARA |
0.736
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.742
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.81
|
k=4 |
Clustering |
clusterdp |
1.0
|
k=24 dc=1.4758472143145445 |
Clustering |
HDBSCAN |
0.958
|
minPts=2 k=12 |
Clustering |
AGNES |
0.958
|
method=weighted metric=euclidean k=10 |
Clustering |
c-Means |
0.759
|
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.753
|
k=2 |
Clustering |
DIANA |
0.759
|
metric=euclidean k=2 |
Clustering |
DBSCAN |
0.979
|
eps=12.790675857392719 MinPts=184 |
Clustering |
Hierarchical Clustering |
0.958
|
method=single k=12 |
Clustering |
fanny |
0.776
|
k=3 membexp=2.0 |
Clustering |
k-Means |
0.736
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.6666666666666666 K=12 |
Clustering |
clusterONE |
0.732
|
s=1 d=0.3333333333333333 |
Clustering |
Affinity Propagation |
0.732
|
dampfact=0.7 preference=7.379236071572722 maxits=2750 convits=275 |
Clustering |
Markov Clustering |
0.732
|
I=1.1356356356356356 |
Clustering |
Transitivity Clustering |
0.757
|
T=8.228697681413424 |
Clustering |
MCODE |
0.51
|
v=0.0 cutoff=13.52859946454999 haircut=T fluff=T |
Clustering |