CLARA |
0.69
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.457
|
x=2 y=1 |
Clustering |
Spectral Clustering |
0.545
|
k=20 |
Clustering |
clusterdp |
0.827
|
k=21 dc=17.164739697673507 |
Clustering |
HDBSCAN |
0.92
|
minPts=2 k=56 |
Clustering |
AGNES |
0.92
|
method=complete metric=euclidean k=56 |
Clustering |
c-Means |
0.73
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.69
|
k=3 |
Clustering |
DIANA |
0.713
|
metric=euclidean k=6 |
Clustering |
DBSCAN |
0.895
|
eps=17.164739697673507 MinPts=292 |
Clustering |
Hierarchical Clustering |
0.92
|
method=single k=57 |
Clustering |
fanny |
0.692
|
k=17 membexp=5.0 |
Clustering |
k-Means |
0.69
|
k=5 nstart=10 |
Clustering |
DensityCut |
0.807
|
alpha=0.0 K=8 |
Clustering |
clusterONE |
0.247
|
s=14 d=0.0 |
Clustering |
Affinity Propagation |
0.305
|
dampfact=0.7 preference=0.0 maxits=2000 convits=275 |
Clustering |
Markov Clustering |
0.247
|
I=1.1890890890890893 |
Clustering |
Transitivity Clustering |
0.782
|
T=30.08063563491904 |
Clustering |
MCODE |
0.663
|
v=0.5 cutoff=29.11875484426756 haircut=F fluff=T |
Clustering |