CLARA |
0.613
|
metric=euclidean k=11 samples=20 |
Clustering |
Self Organizing Maps |
0.924
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.889
|
k=2 |
Clustering |
clusterdp |
0.576
|
k=19 dc=8.322553508237098 |
Clustering |
HDBSCAN |
0.497
|
minPts=87 k=1 |
Clustering |
AGNES |
0.731
|
method=single metric=euclidean k=4 |
Clustering |
c-Means |
0.913
|
k=2 m=2.25 |
Clustering |
k-Medoids (PAM) |
0.613
|
k=4 |
Clustering |
DIANA |
0.889
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
0.497
|
eps=7.343429566091556 MinPts=120 |
Clustering |
Hierarchical Clustering |
0.677
|
method=average k=12 |
Clustering |
fanny |
0.906
|
k=2 membexp=1.99 |
Clustering |
k-Means |
0.906
|
k=3 nstart=10 |
Clustering |
DensityCut |
0.497
|
alpha=0.47619047619047616 K=29 |
Clustering |
clusterONE |
0.757
|
s=2 d=0.06666666666666667 |
Clustering |
Markov Clustering |
0.497
|
I=1.1356356356356356 |
Clustering |
Transitivity Clustering |
0.522
|
T=4.572185375484433 |
Clustering |
MCODE |
0.497
|
v=0.0 cutoff=4.283667246886741 haircut=T fluff=F |
Clustering |