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=105 k=200 |
Clustering |
AGNES |
1.0
|
method=ward metric=euclidean k=200 |
Clustering |
c-Means |
1.0
|
k=132 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=195 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=200 |
Clustering |
DBSCAN |
1.0
|
eps=3.035008846224338 MinPts=34 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=199 |
Clustering |
fanny |
1.0
|
k=61 membexp=2.5833333333333335 |
Clustering |
k-Means |
1.0
|
k=198 nstart=10 |
Clustering |
DensityCut |
0.267
|
alpha=0.4583333333333333 K=3 |
Clustering |
clusterONE |
0.98
|
s=3 d=0.5666666666666667 |
Clustering |
Markov Clustering |
0.0
|
I=6.783883883883885 |
Clustering |
Transitivity Clustering |
1.0
|
T=11.301534442396935 |
Clustering |
MCODE |
0.937
|
v=0.2 cutoff=4.552513269336507 haircut=T fluff=F |
Clustering |