Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 1.0 k=189 Clustering
clusterdp 0.33 k=24
dc=0.9759128172193446
Clustering
AGNES 1.0 method=single
metric=euclidean
k=171
Clustering
c-Means 1.0 k=8
m=1.5
Clustering
k-Medoids (PAM) 1.0 k=157 Clustering
DIANA 1.0 metric=euclidean
k=180
Clustering
DBSCAN 0.0 eps=0.9357675125849189
MinPts=89
Clustering
Hierarchical Clustering 1.0 method=complete
k=168
Clustering
fanny 1.0 k=92
membexp=1.1
Clustering
clusterONE 0.0 s=133
d=0.2
Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=1.0000000000000002
maxits=5000
convits=200
Clustering
Markov Clustering 0.0 I=9.42982982982983 Clustering
Transitivity Clustering 1.0 T=0.999758887059253 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering