CLARA |
0.667 |
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.504 |
x=2 y=1 |
Clustering |
Spectral Clustering |
0.698 |
k=2 |
Clustering |
clusterdp |
1.0 |
k=5 dc=0.22080000000000002 |
Clustering |
HDBSCAN |
1.0 |
minPts=6 k=2 |
Clustering |
AGNES |
1.0 |
method=complete metric=euclidean k=2 |
Clustering |
c-Means |
0.504 |
k=2 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.504 |
k=2 |
Clustering |
DIANA |
0.667 |
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0 |
eps=3.0912 MinPts=175 |
Clustering |
Hierarchical Clustering |
1.0 |
method=average k=2 |
Clustering |
fanny |
0.667 |
k=2 membexp=2.0 |
Clustering |
k-Means |
0.502 |
k=2 nstart=10 |
Clustering |
DensityCut |
1.0 |
alpha=0.03512137276785712 K=4 |
Clustering |
clusterONE |
0.667 |
s=67 d=0.6333333333333333 |
Clustering |
Affinity Propagation |
0.667 |
dampfact=0.99 preference=0.8280000000000001 maxits=2000 convits=350 |
Clustering |
Markov Clustering |
0.667 |
I=5.011011011011011 |
Clustering |
Transitivity Clustering |
0.667 |
T=0.6730090090090091 |
Clustering |
MCODE |
0.637 |
v=0.3 cutoff=1.2420000000000002 haircut=F fluff=F |
Clustering |