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 0.844 k=644 Clustering
clusterdp 0.0 k=839
dc=27.656572266666668
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=550
Clustering
c-Means 0.0 k=1027
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=459 Clustering
DIANA 0.0 metric=euclidean
k=634
Clustering
DBSCAN 0.0 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.0 method=single
k=1000
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=210
d=0.7666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=2000
convits=350
Clustering
Markov Clustering 0.198 I=9.893093093093094 Clustering
Transitivity Clustering 0.0 T=14.905786538538539 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T
Clustering