CLARA |
1.0
|
metric=euclidean k=84 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=76 y=183 |
Clustering |
Spectral Clustering |
1.0
|
k=17 |
Clustering |
clusterdp |
1.0
|
k=3 dc=1.044321633166584 |
Clustering |
HDBSCAN |
1.0
|
minPts=12 k=238 |
Clustering |
AGNES |
1.0
|
method=average metric=euclidean k=149 |
Clustering |
c-Means |
1.0
|
k=174 m=3.5 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=226 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=1 |
Clustering |
DBSCAN |
1.0
|
eps=2.741344287062283 MinPts=191 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=229 |
Clustering |
fanny |
1.0
|
k=30 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=220 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.9486607142857143 K=4 |
Clustering |
clusterONE |
0.0
|
s=25 d=0.0 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=3.9162061243746904 maxits=3500 convits=200 |
Clustering |
Markov Clustering |
0.0
|
I=3.3361361361361364 |
Clustering |
Transitivity Clustering |
1.0
|
T=2.6931267341795917 |
Clustering |
MCODE |
0.999
|
v=0.9 cutoff=3.589855614010133 haircut=F fluff=F |
Clustering |