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=734
dc=34.9346176
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=972
Clustering
c-Means 0.0 k=1027
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=727 Clustering
DIANA 0.0 metric=euclidean
k=784
Clustering
DBSCAN 0.0 eps=36.39022666666666
MinPts=664
Clustering
Hierarchical Clustering 0.0 method=average
k=742
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=280
d=0.7
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=43.668272
maxits=4250
convits=500
Clustering
Markov Clustering 0.198 I=9.857457457457457 Clustering
Transitivity Clustering 0.0 T=26.53317427827828 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T
Clustering