CLARA |
0.294
|
metric=euclidean k=58 samples=20 |
Clustering |
Self Organizing Maps |
0.271
|
x=134 y=100 |
Clustering |
Spectral Clustering |
0.667
|
k=2 |
Clustering |
clusterdp |
1.0
|
k=5 dc=1.3248 |
Clustering |
HDBSCAN |
1.0
|
minPts=6 k=2 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=2 |
Clustering |
c-Means |
0.3
|
k=52 m=1.5 |
Clustering |
k-Medoids (PAM) |
0.305
|
k=45 |
Clustering |
DIANA |
0.282
|
metric=euclidean k=75 |
Clustering |
DBSCAN |
1.0
|
eps=1.5456 MinPts=233 |
Clustering |
Hierarchical Clustering |
1.0
|
method=average k=2 |
Clustering |
fanny |
0.274
|
k=84 membexp=5.0 |
Clustering |
k-Means |
0.291
|
k=61 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.0357142834525023 K=4 |
Clustering |
clusterONE |
0.0
|
s=9 d=0.26666666666666666 |
Clustering |
Affinity Propagation |
0.285
|
dampfact=0.99 preference=2.484 maxits=4250 convits=350 |
Clustering |
Markov Clustering |
0.0
|
I=8.432032032032032 |
Clustering |
Transitivity Clustering |
0.312
|
T=2.9473153153153158 |
Clustering |
MCODE |
0.288
|
v=0.6 cutoff=3.036 haircut=T fluff=T |
Clustering |