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 0.989 k=932 Clustering
clusterdp 0.993 k=420
dc=73.27601433607948
Clustering
AGNES 0.993 method=complete
metric=euclidean
k=319
Clustering
c-Means 0.99 k=561
m=1.01
Clustering
k-Medoids (PAM) 0.991 k=463 Clustering
DIANA 0.991 metric=euclidean
k=470
Clustering
DBSCAN 0.99 eps=111.84233767085814
MinPts=768
Clustering
Hierarchical Clustering 0.993 method=average
k=345
Clustering
fanny 0.989 k=505
membexp=5.0
Clustering
clusterONE 0.981 s=1
d=0.4
Clustering
Affinity Propagation 0.99 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 0.991 I=1.598898898898899 Clustering
Transitivity Clustering 0.993 T=1.7372217718368772 Clustering
MCODE 0.679 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering