CLARA |
1.0
|
metric=euclidean k=196 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=61 y=153 |
Clustering |
Spectral Clustering |
0.995
|
k=110 |
Clustering |
clusterdp |
0.957
|
k=3 dc=4.856014153958941 |
Clustering |
HDBSCAN |
1.0
|
minPts=143 k=200 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=200 |
Clustering |
c-Means |
1.0
|
k=106 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=198 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=200 |
Clustering |
DBSCAN |
1.0
|
eps=0.6070017692448676 MinPts=34 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=200 |
Clustering |
fanny |
1.0
|
k=21 membexp=3.176666666666667 |
Clustering |
k-Means |
1.0
|
k=199 nstart=10 |
Clustering |
DensityCut |
0.267
|
alpha=0.4583333333333333 K=3 |
Clustering |
clusterONE |
0.98
|
s=1 d=0.6666666666666666 |
Clustering |
Markov Clustering |
0.0
|
I=7.879679679679681 |
Clustering |
Transitivity Clustering |
1.0
|
T=8.658433645384747 |
Clustering |
MCODE |
0.937
|
v=0.3 cutoff=4.552513269336507 haircut=F fluff=F |
Clustering |