CLARA |
1.0
|
metric=euclidean k=1 samples=20 |
Clustering |
Self Organizing Maps |
0.979
|
x=2 y=27 |
Clustering |
Spectral Clustering |
1.0
|
k=4 |
Clustering |
clusterdp |
1.0
|
k=5 dc=2.587697389143054 |
Clustering |
HDBSCAN |
1.0
|
minPts=184 k=1 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=6 |
Clustering |
c-Means |
0.993
|
k=3 m=1.01 |
Clustering |
k-Medoids (PAM) |
0.995
|
k=2 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=2 |
Clustering |
DBSCAN |
1.0
|
eps=3.881546083714581 MinPts=709 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=9 |
Clustering |
fanny |
1.0
|
k=6 membexp=2.0 |
Clustering |
k-Means |
0.993
|
k=3 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.23333333333333334 K=78 |
Clustering |
clusterONE |
1.0
|
s=446 d=0.7333333333333333 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7 preference=0.0 maxits=2000 convits=200 |
Clustering |
Markov Clustering |
1.0
|
I=4.52992992992993 |
Clustering |
Transitivity Clustering |
1.0
|
T=18.68892558825539 |
Clustering |
MCODE |
0.818
|
v=0.0 cutoff=35.58083910071699 haircut=F fluff=F |
Clustering |