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=3 dc=1.5456 |
Clustering |
HDBSCAN |
1.0 |
minPts=6 k=2 |
Clustering |
AGNES |
1.0 |
method=flexible metric=euclidean k=2 |
Clustering |
c-Means |
0.504 |
k=2 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.504 |
k=2 |
Clustering |
DIANA |
0.667 |
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0 |
eps=2.3184 MinPts=200 |
Clustering |
Hierarchical Clustering |
1.0 |
method=average k=2 |
Clustering |
fanny |
0.667 |
k=10 membexp=5.0 |
Clustering |
k-Means |
0.502 |
k=2 nstart=10 |
Clustering |
DensityCut |
1.0 |
alpha=0.1125 K=3 |
Clustering |
clusterONE |
0.667 |
s=1 d=0.5333333333333333 |
Clustering |
Affinity Propagation |
0.667 |
dampfact=0.9175 preference=0.0 maxits=4250 convits=500 |
Clustering |
Markov Clustering |
0.667 |
I=2.0621621621621626 |
Clustering |
Transitivity Clustering |
0.667 |
T=0.09945945945945947 |
Clustering |
MCODE |
0.637 |
v=0.3 cutoff=1.2420000000000002 haircut=F fluff=F |
Clustering |