CLARA |
0.841 |
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.845 |
x=2 y=1 |
Clustering |
Spectral Clustering |
0.889 |
k=4 |
Clustering |
clusterdp |
1.0 |
k=23 dc=1.9677962857527258 |
Clustering |
HDBSCAN |
0.972 |
minPts=2 k=12 |
Clustering |
AGNES |
0.972 |
method=complete metric=euclidean k=18 |
Clustering |
c-Means |
0.857 |
k=2 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.853 |
k=2 |
Clustering |
DIANA |
0.857 |
metric=euclidean k=2 |
Clustering |
DBSCAN |
0.987 |
eps=12.790675857392719 MinPts=184 |
Clustering |
Hierarchical Clustering |
0.972 |
method=single k=12 |
Clustering |
fanny |
0.869 |
k=3 membexp=2.0 |
Clustering |
k-Means |
0.841 |
k=2 nstart=10 |
Clustering |
DensityCut |
1.0 |
alpha=0.5982142857142857 K=9 |
Clustering |
clusterONE |
0.689 |
s=24 d=0.9666666666666667 |
Clustering |
Affinity Propagation |
0.689 |
dampfact=0.99 preference=0.0 maxits=5000 convits=200 |
Clustering |
Markov Clustering |
0.689 |
I=1.794894894894895 |
Clustering |
Transitivity Clustering |
0.866 |
T=8.228697681413424 |
Clustering |
MCODE |
0.598 |
v=0.0 cutoff=13.52859946454999 haircut=T fluff=T |
Clustering |