CLARA |
0.477
|
metric=euclidean k=37 samples=20 |
Clustering |
Self Organizing Maps |
0.462
|
x=105 y=52 |
Clustering |
Spectral Clustering |
0.912
|
k=3 |
Clustering |
clusterdp |
1.0
|
k=3 dc=4.041033971096452 |
Clustering |
HDBSCAN |
0.798
|
minPts=5 k=34 |
Clustering |
AGNES |
1.0
|
method=weighted metric=euclidean k=3 |
Clustering |
c-Means |
0.489
|
k=27 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.492
|
k=36 |
Clustering |
DIANA |
0.476
|
metric=euclidean k=37 |
Clustering |
DBSCAN |
1.0
|
eps=14.14361889883758 MinPts=280 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=3 |
Clustering |
fanny |
0.503
|
k=26 membexp=5.0 |
Clustering |
k-Means |
0.482
|
k=33 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.0930059523809524 K=2 |
Clustering |
clusterONE |
0.0
|
s=115 d=0.5333333333333333 |
Clustering |
Affinity Propagation |
0.493
|
dampfact=0.7 preference=7.576938695805847 maxits=5000 convits=425 |
Clustering |
Markov Clustering |
0.0
|
I=3.4252252252252253 |
Clustering |
Transitivity Clustering |
0.536
|
T=25.423321830171368 |
Clustering |
MCODE |
0.468
|
v=0.5 cutoff=26.519285435320466 haircut=T fluff=F |
Clustering |