CLARA |
1.0
|
metric=euclidean k=166 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=250 y=241 |
Clustering |
Spectral Clustering |
1.0
|
k=13 |
Clustering |
clusterdp |
1.0
|
k=15 dc=1.9872000000000003 |
Clustering |
HDBSCAN |
1.0
|
minPts=8 k=7 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=113 |
Clustering |
c-Means |
1.0
|
k=37 m=1.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=74 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=94 |
Clustering |
DBSCAN |
1.0
|
eps=2.6496 MinPts=158 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=43 |
Clustering |
fanny |
1.0
|
k=121 membexp=5.0 |
Clustering |
k-Means |
1.0
|
k=85 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.06904761904761904 K=5 |
Clustering |
clusterONE |
0.0
|
s=167 d=0.4666666666666667 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=3.3120000000000003 maxits=4250 convits=350 |
Clustering |
Markov Clustering |
0.5
|
I=9.35855855855856 |
Clustering |
Transitivity Clustering |
1.0
|
T=3.278846846846847 |
Clustering |
MCODE |
0.999
|
v=0.7 cutoff=3.036 haircut=F fluff=F |
Clustering |