CLARA |
0.859 |
metric=euclidean k=41 samples=20 |
Clustering |
Self Organizing Maps |
0.98 |
x=2 y=1 |
Clustering |
Spectral Clustering |
0.97 |
k=2 |
Clustering |
clusterdp |
0.825 |
k=25 dc=10.77036336360095 |
Clustering |
HDBSCAN |
0.667 |
minPts=44 k=1 |
Clustering |
AGNES |
0.915 |
method=flexible metric=euclidean k=2 |
Clustering |
c-Means |
0.977 |
k=2 m=2.25 |
Clustering |
k-Medoids (PAM) |
0.859 |
k=4 |
Clustering |
DIANA |
0.97 |
metric=euclidean k=3 |
Clustering |
DBSCAN |
0.667 |
eps=1.4686859132183112 MinPts=1 |
Clustering |
Hierarchical Clustering |
0.897 |
method=average k=12 |
Clustering |
fanny |
0.975 |
k=2 membexp=1.99 |
Clustering |
k-Means |
0.975 |
k=3 nstart=10 |
Clustering |
DensityCut |
0.737 |
alpha=7.8125E-4 K=3 |
Clustering |
clusterONE |
0.925 |
s=18 d=0.16666666666666666 |
Clustering |
Markov Clustering |
0.667 |
I=1.2336336336336338 |
Clustering |
Transitivity Clustering |
0.827 |
T=4.572185375484433 |
Clustering |
MCODE |
0.717 |
v=0.9 cutoff=4.895619710727704 haircut=T fluff=F |
Clustering |