CLARA |
0.39
|
metric=euclidean k=67 samples=20 |
Clustering |
Self Organizing Maps |
0.372
|
x=134 y=100 |
Clustering |
Spectral Clustering |
0.325
|
k=5 |
Clustering |
clusterdp |
0.136
|
k=12 dc=0.0 |
Clustering |
HDBSCAN |
0.184
|
minPts=2 k=4 |
Clustering |
AGNES |
0.395
|
method=ward metric=euclidean k=57 |
Clustering |
c-Means |
0.397
|
k=52 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.408
|
k=60 |
Clustering |
DIANA |
0.354
|
metric=euclidean k=86 |
Clustering |
DBSCAN |
0.016
|
eps=0.552 MinPts=17 |
Clustering |
Hierarchical Clustering |
0.394
|
method=average k=55 |
Clustering |
fanny |
NaN
|
k=2 membexp=1.1 |
Clustering |
k-Means |
0.407
|
k=66 nstart=10 |
Clustering |
DensityCut |
0.277
|
alpha=0.38095238095238093 K=24 |
Clustering |
clusterONE |
NaN
|
s=208 d=0.6 |
Clustering |
Affinity Propagation |
0.366
|
dampfact=0.99 preference=2.484 maxits=4250 convits=350 |
Clustering |
Markov Clustering |
0.329
|
I=8.601301301301302 |
Clustering |
Transitivity Clustering |
0.403
|
T=3.0567207207207208 |
Clustering |
MCODE |
0.288
|
v=0.1 cutoff=3.036 haircut=F fluff=T |
Clustering |