CLARA |
1.0
|
metric=euclidean k=196 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=200 y=160 |
Clustering |
Spectral Clustering |
0.995
|
k=110 |
Clustering |
clusterdp |
0.957
|
k=3 dc=4.856014153958941 |
Clustering |
HDBSCAN |
1.0
|
minPts=29 k=200 |
Clustering |
AGNES |
1.0
|
method=weighted metric=euclidean k=200 |
Clustering |
c-Means |
1.0
|
k=24 m=1.01 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=195 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=199 |
Clustering |
DBSCAN |
1.0
|
eps=14.568042461876821 MinPts=146 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=199 |
Clustering |
fanny |
1.0
|
k=8 membexp=8.813333333333333 |
Clustering |
k-Means |
1.0
|
k=199 nstart=10 |
Clustering |
DensityCut |
0.267
|
alpha=0.4583333333333333 K=3 |
Clustering |
clusterONE |
0.98
|
s=4 d=0.6666666666666666 |
Clustering |
Markov Clustering |
0.0
|
I=6.6324324324324335 |
Clustering |
Transitivity Clustering |
1.0
|
T=9.095912397993661 |
Clustering |
MCODE |
0.937
|
v=0.2 cutoff=4.552513269336507 haircut=T fluff=F |
Clustering |