CLARA |
1.0
|
metric=euclidean k=2 samples=20 |
Clustering |
Self Organizing Maps |
0.931
|
x=2 y=1 |
Clustering |
Spectral Clustering |
1.0
|
k=14 |
Clustering |
clusterdp |
1.0
|
k=25 dc=0.5746360569213221 |
Clustering |
HDBSCAN |
1.0
|
minPts=49 k=1 |
Clustering |
AGNES |
1.0
|
method=weighted metric=euclidean k=2 |
Clustering |
c-Means |
1.0
|
k=4 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=4 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=65 |
Clustering |
DBSCAN |
1.0
|
eps=0.8358342646128322 MinPts=200 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
1.0
|
k=2 membexp=1.1 |
Clustering |
k-Means |
1.0
|
k=5 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.17857142857142855 K=25 |
Clustering |
clusterONE |
1.0
|
s=158 d=0.6666666666666666 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.7725 preference=0.7835946230745302 maxits=2750 convits=500 |
Clustering |
Markov Clustering |
1.0
|
I=4.601201201201201 |
Clustering |
Transitivity Clustering |
1.0
|
T=0.1506007683987085 |
Clustering |
MCODE |
0.852
|
v=0.7 cutoff=0.5223964153830202 haircut=T fluff=F |
Clustering |