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=700
dc=42.212662933333334
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=678
Clustering
c-Means 0.0 k=1027
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=814 Clustering
DIANA 0.0 metric=euclidean
k=1002
Clustering
DBSCAN 0.0 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.0 method=single
k=556
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=1013
d=0.26666666666666666
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=32.751204
maxits=2750
convits=425
Clustering
Markov Clustering 0.198 I=9.839639639639639 Clustering
Transitivity Clustering 0.0 T=43.01259224024024 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T
Clustering