CLARA |
0.667 |
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.666 |
x=2 y=1 |
Clustering |
Spectral Clustering |
0.965 |
k=4 |
Clustering |
clusterdp |
0.666 |
k=2 dc=0.0 |
Clustering |
HDBSCAN |
0.667 |
minPts=29 k=1 |
Clustering |
AGNES |
0.89 |
method=flexible metric=euclidean k=2 |
Clustering |
c-Means |
0.97 |
k=2 m=3.5 |
Clustering |
k-Medoids (PAM) |
0.66 |
k=3 |
Clustering |
DIANA |
0.95 |
metric=euclidean k=47 |
Clustering |
DBSCAN |
0.667 |
eps=0.0 MinPts=93 |
Clustering |
Hierarchical Clustering |
0.89 |
method=single k=2 |
Clustering |
fanny |
0.899 |
k=2 membexp=1.3966666666666667 |
Clustering |
k-Means |
0.965 |
k=2 nstart=10 |
Clustering |
DensityCut |
0.667 |
alpha=0.8095238095238095 K=29 |
Clustering |
clusterONE |
0.788 |
s=13 d=0.2 |
Clustering |
Markov Clustering |
0.667 |
I=1.4741741741741743 |
Clustering |
Transitivity Clustering |
0.667 |
T=0.12759796951093313 |
Clustering |
MCODE |
0.667 |
v=0.8 cutoff=7.587522115560845 haircut=F fluff=T |
Clustering |