CLARA |
0.442
|
metric=euclidean k=11 samples=20 |
Clustering |
Self Organizing Maps |
0.862
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.816
|
k=2 |
Clustering |
clusterdp |
0.473
|
k=19 dc=8.322553508237098 |
Clustering |
HDBSCAN |
0.231
|
minPts=7 k=200 |
Clustering |
AGNES |
0.631
|
method=single metric=euclidean k=4 |
Clustering |
c-Means |
0.839
|
k=2 m=2.25 |
Clustering |
k-Medoids (PAM) |
0.442
|
k=4 |
Clustering |
DIANA |
0.835
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
0.234
|
eps=14.686859132183113 MinPts=7 |
Clustering |
Hierarchical Clustering |
0.524
|
method=average k=12 |
Clustering |
fanny |
0.838
|
k=2 membexp=1.99 |
Clustering |
k-Means |
0.838
|
k=3 nstart=10 |
Clustering |
DensityCut |
0.318
|
alpha=0.0 K=2 |
Clustering |
clusterONE |
0.684
|
s=2 d=0.06666666666666667 |
Clustering |
Markov Clustering |
0.0
|
I=7.576776776776778 |
Clustering |
Transitivity Clustering |
0.459
|
T=4.572185375484433 |
Clustering |
MCODE |
0.242
|
v=0.5 cutoff=4.895619710727704 haircut=T fluff=F |
Clustering |