CLARA |
0.734
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.732
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.816
|
k=4 |
Clustering |
clusterdp |
1.0
|
k=24 dc=1.4758472143145445 |
Clustering |
HDBSCAN |
0.956
|
minPts=2 k=12 |
Clustering |
AGNES |
0.956
|
method=weighted metric=euclidean k=10 |
Clustering |
c-Means |
0.759
|
k=3 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.745
|
k=3 |
Clustering |
DIANA |
0.75
|
metric=euclidean k=2 |
Clustering |
DBSCAN |
0.978
|
eps=12.790675857392719 MinPts=184 |
Clustering |
Hierarchical Clustering |
0.956
|
method=single k=12 |
Clustering |
fanny |
0.773
|
k=4 membexp=5.0 |
Clustering |
k-Means |
0.727
|
k=2 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.6666666666666666 K=12 |
Clustering |
clusterONE |
0.536
|
s=1 d=0.3333333333333333 |
Clustering |
Affinity Propagation |
0.553
|
dampfact=0.99 preference=0.0 maxits=2000 convits=350 |
Clustering |
Markov Clustering |
0.536
|
I=3.2559559559559563 |
Clustering |
Transitivity Clustering |
0.769
|
T=8.228697681413424 |
Clustering |
MCODE |
0.492
|
v=0.2 cutoff=14.143535803847717 haircut=T fluff=T |
Clustering |