CLARA |
0.768 |
metric=euclidean k=4 samples=20 |
Clustering |
Self Organizing Maps |
0.778 |
x=2 y=17 |
Clustering |
Spectral Clustering |
1.0 |
k=18 |
Clustering |
clusterdp |
1.0 |
k=6 dc=0.522160816583292 |
Clustering |
HDBSCAN |
0.917 |
minPts=6 k=41 |
Clustering |
AGNES |
1.0 |
method=flexible metric=euclidean k=3 |
Clustering |
c-Means |
0.957 |
k=3 m=3.5 |
Clustering |
k-Medoids (PAM) |
0.95 |
k=2 |
Clustering |
DIANA |
0.772 |
metric=euclidean k=3 |
Clustering |
DBSCAN |
1.0 |
eps=2.8718844912081063 MinPts=183 |
Clustering |
Hierarchical Clustering |
1.0 |
method=average k=2 |
Clustering |
fanny |
0.957 |
k=3 membexp=1.1 |
Clustering |
k-Means |
0.78 |
k=2 nstart=10 |
Clustering |
DensityCut |
1.0 |
alpha=0.95625 K=6 |
Clustering |
clusterONE |
0.524 |
s=1 d=0.1 |
Clustering |
Affinity Propagation |
0.524 |
dampfact=0.7 preference=0.0 maxits=3500 convits=500 |
Clustering |
Markov Clustering |
0.524 |
I=1.58998998998999 |
Clustering |
Transitivity Clustering |
0.885 |
T=2.6186443354177107 |
Clustering |
MCODE |
0.992 |
v=0.2 cutoff=1.6317525518227878 haircut=F fluff=T |
Clustering |